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AI in Cardiology: What It Means for Your Heart, and What It Cannot Do

AI in cardiology, heart
Key Points

  • Artificial intelligence is already being used in cardiology, quietly and carefully, in ways that are genuinely improving patient care.
  • AI does not replace your cardiologist. It gives them better tools, more time, and sharper information to make decisions with you.
  • From reading ECGs to analysing intracoronary imaging, planning complex procedures, and assessing heart valves, AI is being applied across almost every area of heart medicine.
  • Neural networks are already shortening the time taken to analyse complex imaging, making procedures faster and more accurate.
  • The goal is the same as it has always been: getting the right treatment to the right patient.

If you have heard the term artificial intelligence, or AI, mentioned in the context of medicine, and been unsure whether to find it exciting or unsettling, you are not alone. The term carries a lot of weight in public conversation, and not always in reassuring directions.

So let us be clear about something from the outset. The AI being developed and applied in cardiology is not about replacing doctors, or making decisions by algorithm, or removing the human relationship at the heart of medicine.

It is about giving cardiologists better tools. Tools that can process more information more quickly, spot patterns that are difficult for the human eye to detect, and help ensure that every patient benefits from the full weight of accumulated medical knowledge, not just the experience of the individual clinician in front of them.

As one of the leading figures applying AI to cardiovascular research and daily clinical practice, my view is clear. AI is here to help improve workflow, and that efficiency creates more face-to-face time with patients. Not less.

What Do We Actually Mean by AI in Cardiology?

AI is a broad term that encompasses several different technologies. In cardiology, the most relevant are machine learning, where a computer learns to recognise patterns by analysing large amounts of data, and deep learning, a more sophisticated version that can analyse complex images such as heart scans with remarkable accuracy.

Neural networks, modelled loosely on the structure of the human brain, sit at the heart of many of these systems. They are capable of identifying patterns in imaging data at a speed and consistency that no human analyst could match.

These are not futuristic concepts. They are already in use in hospitals and catheterisation laboratories around the world, often in ways that patients would not notice. They run quietly in the background, helping clinicians interpret information faster and more accurately than would otherwise be possible.

Speaking at the 2026 European Association of Percutaneous Cardiovascular Interventions Summit in Munich, I described AI as transforming cardiology at a pace that is genuinely unprecedented, having been at the forefront of applying machine learning to some of the largest datasets in coronary disease research, including the SYNTAX trial, which followed 1,800 patients for 10 years.

But alongside that enthusiasm, I was equally clear about the caution required. To trust an AI estimation more than clinical expertise, we have to be certain it has been proven in outcomes studies. Progress, but never at the expense of safety. That balance, genuine excitement tempered by rigorous caution, is precisely what patients should expect from the doctors leading this field.

Where Is AI Already Making a Difference?

The clearest way to understand where AI sits in modern cardiology is to follow the journey a patient takes, from the moment a problem is first suspected through to the treatment decision and beyond. At every stage of that journey, AI is already at work.

How AI Works in Cardiology
From data to clinical decision
1

Data Input

ECG readings, CT scans, echo images, blood tests, and your medical history are gathered, the raw information about your heart.

2

Neural Network

Trained on millions of examples, the AI identifies patterns in that information that are invisible to the human eye.

3

Analysis

Risk scores, measurements, plaque characterisation, and predictions are produced in seconds rather than hours.

4

Your Cardiologist

Reviews the AI output alongside clinical judgement and makes the final decision with you.

AI informs. Your cardiologist decides.

Stage 1: before you ever reach a specialist

AI is already working before most patients know they have a problem. Tools trained on millions of ECG recordings can now detect patterns associated with heart attacks, irregular rhythms, and structural heart disease with accuracy that matches experienced clinicians. Some of these tools are built into smartwatches and portable devices, bringing ECG analysis into patients’ own homes.

In resource-limited parts of the world, AI-powered digital stethoscopes and portable devices are allowing patients in communities without specialist cardiologists to be assessed and triaged to a standard that previously required a fully equipped hospital. A patient who would once have waited months to see a specialist, or never seen one at all, can now have their heart rhythm analysed, their valve function assessed, and their cardiovascular risk stratified using tools that fit in a small case.

This matters more than almost any other application of AI in medicine. The burden of cardiovascular disease falls most heavily on low- and middle-income countries, precisely the places with the fewest cardiologists, the least access to imaging equipment, and the longest distances between patients and the hospitals that could help them.

AI does not fix those structural problems. But it does mean that a community health worker in a rural clinic, equipped with a smartphone and a portable ECG device, can now make a triage decision that would previously have required a trained cardiologist. The technology does not replace the specialist. It extends their reach to places they cannot physically be.

Stage 2: investigating your heart

Once a problem is suspected, you will be referred for tests. This is where AI is already embedded most deeply in clinical practice.

Computed tomography coronary angiography, or CTCA, uses X-ray technology to produce detailed images of the coronary arteries. AI and machine learning are now being used to interrogate these datasets far beyond what conventional analysis could achieve. The presence, extent, and characteristics of plaque can be assessed with a granularity that helps your clinical team make better-informed decisions before you ever reach the procedure room.

The echocardiogram, the ultrasound of the heart, is one of the most widely used diagnostic tools in cardiology. Machine learning algorithms can now assist in assessing heart valve function with impressive accuracy. What is particularly striking is that the benefit is greatest for less experienced operators. A sonographer early in their training, using an AI-assisted system, can achieve diagnostic accuracy that would previously have required years of experience.

In some centres, robotic echocardiography systems guided entirely by AI are now acquiring images without a sonographer needing to hold the probe at all, opening up access to high-quality cardiac imaging in areas where specialist staff are scarce.

Stage 3: planning your procedure

When treatment is needed, AI is transforming how your clinical team prepares. Computational fluid dynamics, or CFD, combines your imaging data with mathematical modelling of blood flow to simulate how blood actually moves through your coronary arteries, and how different treatment strategies will change that flow. The procedure can effectively be planned and rehearsed virtually before it is performed.

This goes further still with what might be called a digital twin: a precise virtual replica of your specific heart and coronary anatomy, built from your own imaging data. Different treatment approaches can be tested on this model, complications anticipated, and the optimal strategy identified, all before you enter the operating theatre.

I am actively collaborating with Professor Peter Barlis and his team, and at the Peter Barlis Laboratory we have been using AI to simulate blood flow at bifurcation points, the branching junctions where blockages are most technically challenging to treat, with the goal of improving precision and safety for each individual patient.

“Where is AI most useful in cardiology? Preplanning. Planning is everything.”

Prof. Patrick Serruys, Interventional Cardiologist

Stage 4: in the procedure room

Once you are in the catheterisation laboratory, AI is present in real time. Intracoronary imaging techniques such as optical coherence tomography (OCT) and intravascular ultrasound (IVUS) look inside the coronary arteries during procedures and generate large amounts of imaging data. Neural networks can now analyse this data at a speed that would have been unimaginable a decade ago. They characterise plaque, identify high-risk features, and predict the result of a stenting procedure, all in the time it takes to complete the procedure itself.

AI is also reading the angiogram in real time as your cardiologist works, automatically measuring the degree of narrowing, the length of the blockage, and the appropriate stent size. A randomised clinical trial has shown that AI-guided angiography analysis produces results comparable to the most detailed imaging techniques available. This is AI genuinely in the room, providing an objective second opinion at the most critical moment of the procedure.

Stage 5: choosing your treatment

Perhaps the most directly relevant application of AI for patients is in the decision between stenting and bypass surgery. Rather than a broad population-based recommendation, machine learning models applied to the SYNTAX trial dataset were able to distinguish meaningfully between patients who looked similar on the surface but whose predicted outcomes differed significantly depending on which treatment they received.

Research Spotlight

The blood tests that turned out to matter more than anyone realised

When the SYNTAX trial dataset was analysed using machine learning, two findings stood out. C-reactive protein, a blood test that measures inflammation, and haemoglobin levels, which reflect anaemia, both emerged as powerful predictors of long-term outcomes after heart treatment. Neither had featured prominently in conventional cardiology risk scoring.

A further surprise was gamma-glutamyl transferase, a liver enzyme routinely measured in blood tests but not traditionally associated with heart outcomes. The machine learning model identified it as a significant predictor of 10-year outcomes. I was initially sceptical, but the finding held up in external validation across thousands of additional patients. It turns out this enzyme is a marker of oxidative stress, which does have a meaningful impact on plaque build-up and heart function.

These are not exotic tests. They are measurements taken routinely in almost every patient undergoing cardiac assessment. What AI revealed is that information we were already collecting was telling us more than our existing models were capturing.

What This Means for You

Not one answer for everyone. A different answer for each person.

When the machine learning model was applied to individual patients in the SYNTAX dataset, it identified three distinct groups. For some patients, stenting and bypass surgery were predicted to produce essentially the same outcome, genuine clinical equipoise, where patient preference should play a larger role in the decision. For others, it predicted a clear advantage for bypass surgery. And for a smaller group, stenting was the stronger option.

The goal is not to have an algorithm make the decision. It is to give your heart team better information so that when they sit down with you to discuss your options, the recommendation they make is as precisely tailored to your specific situation as possible.

The quieter wins: less paperwork, more conversation

One of the less dramatic but genuinely meaningful applications of AI in medicine is the reduction of administrative burden. Cardiologists, like all doctors, spend a significant portion of their working day on documentation, dictating notes, completing forms, and reviewing records. AI-assisted tools can take notes during consultations, generate clinical summaries, and help organise information so that less time is spent on administration and more time is available for the patient in the room.

There is also a more personal dimension that is rarely discussed: what AI means for the conversation between you and your doctor. When a cardiologist tells you that an AI algorithm has analysed your scan, or that a machine learning model has helped inform the recommendation for stenting over surgery, you deserve to understand what that means and who is ultimately responsible for the decision.

The answer to that last question has not changed. Your cardiologist is responsible. AI informs; it does not decide. The shared decision between you and your clinical team remains at the centre of your care, and no algorithm changes that.

AI and Your Heart Team

One of the most important things to understand about AI in cardiology is that it does not work in isolation, and it was never designed to. The Heart Team model, where your cardiologist and cardiac surgeon review your case together before making a recommendation, is precisely where AI adds the most value. The scoring tools, the imaging analysis, the risk predictions, all of this information is brought to that meeting, discussed, and weighed alongside things that no algorithm can measure: your preferences, your circumstances, your priorities.

Traditionally, a Heart Team meeting has centred on reviewing your angiogram images on a screen, measuring segments of arteries by eye, and debating the best approach based on accumulated experience.

AI is transforming this in a concrete and visible way. Machine learning can now process your coronary imaging data and assess your arterial anatomy with a speed and precision that was not previously possible, producing accurate measurements of vessel segments, identifying the location and extent of blockages, and predicting how different stenting or bypass strategies are likely to perform in your specific anatomy.

Extended reality takes this further still. Building on work developed at the CORRIB Research Centre at the University of Galway, coronary imaging data can now be converted into a three-dimensional hologram that the entire Heart Team can explore together before any procedure begins. Rather than looking at flat images on a screen, your cardiologist and cardiac surgeon can examine a three-dimensional model of your coronary arteries, rotate it, fly through it, and measure it in precise detail. The intervention can be planned virtually before you have entered the operating theatre or the catheterisation laboratory.

This has been demonstrated in real surgical cases, including the planning of complex multi-vessel bypass operations, where holographic measurements guided decisions about which vessels to bypass and which grafts to use.

The conversation that follows is still deeply human. The decision that emerges from it is still yours to make, with your team, together. What AI and extended reality change is the quality and precision of the information on the table when that conversation happens.

What AI Cannot Do, and Why That Matters

It is just as important to be clear about the limitations of AI in cardiology as it is to acknowledge its promise. Leading clinicians in this field are the first to make this point.

AI models are trained on data from past patients. They are powerful at identifying patterns within that data, but they cannot handle what they have never seen, and they require retraining as medical knowledge evolves. A model trained predominantly on data from one type of patient population may perform less well when applied to a different population. This is why external validation across diverse groups is essential before any AI tool is used in clinical practice.

There are also important questions about data privacy, about the transparency of AI decision-making, and about ensuring that the benefits of these tools are available equitably, not just to patients in well-resourced healthcare systems.

One of the most honest concerns in this field is what researchers call the black box problem. Many AI models can tell you what conclusion they have reached, but cannot easily explain how they reached it. A neural network that identifies a high-risk plaque on a CT scan may do so with impressive accuracy, but it cannot always show the clinician its reasoning in the way that a human expert can. Different AI platforms applied to the same imaging data can sometimes reach different conclusions.

Understanding where AI is reliable, where it is uncertain, and where it requires human oversight is not a weakness of the technology. It is the essential work of responsible implementation.

Perhaps most importantly: AI does not know you. It does not know that you are frightened, or that you have a strong preference for a less invasive approach, or that your recovery will be shaped by circumstances that no dataset could capture. That knowledge belongs to your cardiologist, your cardiac surgeon, and your clinical team. The human relationship at the centre of medicine, the conversation, the trust, the shared decision, is not something that any algorithm replaces.

What This Means for You as a Patient

If you are a cardiac patient today, or if someone you love is, the most reassuring thing I can say is this. The cardiologists caring for you are not waiting passively for AI to arrive. They are actively using and evaluating these tools, carefully, with the same rigour they apply to any new treatment or technology.

The ECG you had may have been read with the assistance of an AI algorithm. The scan images of your heart may have been processed by software that flags findings for a radiologist or cardiologist to review. The risk assessment your team carried out before recommending treatment may have drawn on scoring tools developed using machine learning on large patient datasets. The intracoronary images taken during your procedure may have been analysed by neural networks that helped guide exactly where and how a stent was placed.

None of this happened instead of your doctor’s judgement. It happened alongside it, giving them better information, faster, so that the decision they made with you was as well-informed as possible.

That is what AI in cardiology is for. Not to alarm. Not to replace. Simply to help the people caring for your heart do their jobs a little better, and to give you, as a patient, the benefit of everything medicine has learned.

Conclusion

AI in cardiology is not a glimpse of some distant future. It is already in the room with you, in the ECG software that flagged your rhythm, in the imaging analysis that helped your team measure your arteries, in the risk scoring that informed your treatment plan. None of it has changed who is responsible for your care, and none of it has removed the human conversation at the heart of medicine.

What it has done is sharpen the information your cardiologist works with, shorten the time between question and answer, and extend the reach of expert care to places it could not previously go. The realistic futures, as I often put it, are arriving faster than anyone anticipated. The question is no longer whether AI will reshape how we care for patients with heart disease. It already has. The question is how thoughtfully, how rigorously, and how equitably we carry that forward.

References

  • Serruys PW. AI in Cardiovascular Imaging and Interventions: Boon or Bane? Presented at the EAPCI Summit, Munich, February 2026. Reported by TCTMD.
  • Ninomiya K, Serruys PW et al. Can Machine Learning Aid the Selection of Percutaneous vs Surgical Revascularization? Journal of the American College of Cardiology, 2023;82:2113 to 2124.
  • Serruys PW et al. 10 Years of SYNTAX: Closing an Era of Clinical Research After Identifying New Outcome Determinants. JACC: Asia, 2023.
  • American Heart Association Scientific Advisory on AI in Cardiovascular Medicine, 2025.

Related Reading

Stents or Bypass Surgery: How Your Heart Team Decides

stents or bypass. SYNTAX Trial

Key points

  • The choice between stents and bypass surgery depends on the complexity of your coronary disease, not just how blocked your arteries are
  • The SYNTAX trial, a landmark collaboration between cardiologists and cardiac surgeons, created the evidence base that guides this decision today
  • Your heart team uses several scoring tools to personalise the recommendation for you
  • In most cases there is time. This decision is made carefully, with your full understanding and agreement
  • No calculator replaces the Heart Team conversation. You are at the centre of this decision

I have spent more than fifty years in interventional cardiology. When I began my career, a blocked coronary artery was a life-altering diagnosis. The options were limited, the procedures crude by today’s standards, and the anxiety felt by patients and their families was, I suspect, not so different from what many of you reading this are feeling right now.

The field has changed beyond recognition. The early promise of pharmacotherapy: medications to slow the disease, relieve symptoms, reduce risk. The arrival of balloon angioplasty in the late 1970s, which felt revolutionary at the time: the idea that you could open a blocked artery from the inside, through a catheter no wider than a drinking straw, without a single incision on the chest. Then came the bare metal stent, a small metal scaffold that held the artery open after the balloon was deflated, which solved one problem and introduced another. Then drug-eluting stents, coated with medication to prevent the artery from narrowing again, and which changed everything.

Each of these advances was built on evidence: on clinical trials, on thousands of patients who gave their time, trusted their doctors, and allowed themselves to be part of something larger than their own treatment. If you have ever participated in a clinical trial, the advances that benefit cardiac patients today exist in part because of you. That debt is rarely acknowledged as clearly as it should be.


If you have just been told you need stents or bypass surgery

If you are reading this, you may have recently been told that you have significant coronary artery disease. Perhaps your angiogram has shown blockages in one or more of the arteries that supply blood to your heart. Perhaps your cardiologist has mentioned the words stents or bypass surgery, and perhaps, in that moment, the room felt a little smaller.

Coronary angiogram showing the heart arteries

A coronary angiogram

During an angiogram, a thin flexible catheter is passed into the coronary arteries and a small amount of contrast dye is injected. The dye makes the arteries visible under X-ray, allowing your cardiologist to see exactly where plaque has built up and where blood flow is restricted. This is the investigation that forms the foundation of your Heart Team’s decision.

That feeling is entirely understandable. It is one of the more confronting conversations medicine asks patients to have. But I want to offer you something before we go any further: reassurance.

The decision about how best to treat your coronary disease is not arbitrary. It is not a coin toss. It is the product of decades of rigorous clinical research, including a landmark trial that I had the privilege of leading, and it is made by a team of specialists whose entire professional lives have been devoted to getting this decision right for patients exactly like you.

What follows is an attempt to explain how that decision is made, what your heart team is weighing up, and what you deserve to understand about your own care.

The question that needed an answer

By the early 2000s, interventional cardiology was at a crossroads.

Drug-eluting stents had arrived and the results were remarkable. For the first time, we could place a stent in a blocked coronary artery and dramatically reduce the chance of it narrowing again, the problem called restenosis that had plagued balloon angioplasty and bare metal stents for two decades. Cardiologists were understandably excited. The technology was advancing rapidly, and we were beginning to treat increasingly complex disease, multiple blocked arteries, blockages in critical locations, patterns of disease that had previously belonged almost exclusively to the cardiac surgeons.

But excitement is not evidence.

The honest truth was that we were pushing into territory where the data had not yet followed. Bypass surgery had decades of long-term outcome data behind it. It was proven, reproducible, and for patients with complex multivessel coronary disease, it had saved an enormous number of lives. The question that cardiologists and cardiac surgeons both knew needed answering was whether stents could match those outcomes in the most complex cases, or whether surgery remained the stronger choice.

What made this moment unusual in medicine was what happened next. Rather than cardiologists and surgeons arguing their respective corners, the two disciplines sat down together and agreed to find out.

A collaboration built on honest questions

The SYNTAX trial was conceived as a genuine partnership. On the cardiology side, I led the study design and execution. On the surgical side, Professor Friedrich Mohr of Leipzig brought the same rigour and the same commitment to finding the right answer, regardless of what that answer turned out to be.

We recruited 85 centres across Europe and the United States and enrolled 1,800 patients with either three-vessel coronary disease, significant blockages in all three of the main arteries supplying the heart, or left main disease, where the blockage sits at the origin of the coronary tree and carries particular weight in terms of risk. Every patient was assessed by both a cardiologist and a cardiac surgeon before randomisation. The Heart Team concept, the idea that complex coronary disease should never be decided by one specialty alone, was not an afterthought. It was built into the trial’s DNA from the very first protocol meeting.

Patients were randomised to receive either percutaneous coronary intervention with drug-eluting stents, the technical term for catheter-based stenting procedures, commonly abbreviated to PCI, or coronary artery bypass grafting, the surgical procedure commonly known as bypass surgery or CABG. We followed them for one year initially, then five years, then ten.

What the trial found, and why it mattered

The results, when they came, were nuanced in the way that the best science always is. They did not declare a single winner. They did something more valuable: they identified who benefited most from each approach.

Patients with less complex coronary disease did equally well with stents as with surgery at five and ten years. But patients with more complex disease, multiple blockages, difficult anatomy, involvement of critical vessel segments, did better with bypass surgery at five and ten years. The difference was meaningful, and it was consistent across multiple analyses.

The critical insight was this: it was not simply a question of stents versus surgery. It was a question of which patient, with which anatomy, benefits most from which treatment. And to answer that question properly, we needed a way to measure coronary complexity objectively. That tool became the SYNTAX score.

Research Spotlight

10 Years of SYNTAX: What a Decade of Research Taught Us About Your Heart

Most medical studies follow patients for a year or two. The SYNTAX trial followed 1,800 patients for a full decade, one of the longest and most detailed studies ever conducted in heart disease treatment.

What did ten years of follow-up reveal? That the decision between stents and bypass surgery is not just about your arteries, it is about you as a whole person. Factors including whether you have diabetes, how well your heart pumps, your kidney function, your body weight, and even your mental health before the procedure were all found to influence long-term outcomes. Patients who were on good medical therapy, cholesterol medication, blood pressure treatment, consistently did better regardless of which procedure they had.

The ten-year data also confirmed that for patients with blockages in all three main heart arteries, bypass surgery provided a meaningful survival advantage over stenting. For patients with disease at the critical left main junction, outcomes were more comparable, and the decision depends heavily on the individual.

Serruys PW et al. 10 Years of SYNTAX: Closing an Era of Clinical Research After Identifying New Outcome Determinants. JACC: Asia, 2023.

The SYNTAX score: measuring the complexity of your coronary disease

Not all coronary disease is equal. A single, straightforward blockage in one artery is a fundamentally different clinical problem from three heavily calcified blockages across multiple vessels, one of which sits at a critical branching point where two arteries divide. The SYNTAX score gave the field a standardised, reproducible way to measure coronary complexity from the angiogram, the X-ray map of your coronary arteries, and express it as a single number.

Each significant blockage is assessed for its location, severity, length, and features that make it more or less technically challenging to treat. The individual scores are added together to produce a total SYNTAX score. The higher the number, the more complex the coronary anatomy.

Score band What it means General direction
Low, 22 or below Fewer blockages, simpler anatomy Stenting outcomes comparable to bypass surgery
Intermediate, 23 to 32 Moderate complexity, careful assessment needed Heart Team decision: both options weighed carefully
High, 33 or above Multiple blockages, complex anatomy Bypass surgery generally favoured for long-term outcomes

Beyond the anatomy: the SYNTAX Score II

The SYNTAX Score II adds eight clinical variables, including age, kidney function, diabetes status, and lung function, to the anatomical score, producing two side-by-side estimates: predicted four-year mortality with PCI, and with CABG. It is a considerably more personalised tool, and increasingly the one your team will use when the decision is genuinely difficult. More recently it was updated using ten years of follow-up data from the full SYNTAX programme, producing more accurate long-term predictions.

What your heart team is actually looking at

The SYNTAX score captures the complexity of your coronary anatomy, but it is only one part of the picture. Before your heart team makes a recommendation, they are weighing up two distinct sets of information: what your arteries look like, and what you are like as a patient. Both matter enormously.

The patient

Age and frailty

Bypass surgery is a major operation. Frailty and other conditions influence whether its benefits outweigh its risks for you specifically.

Diabetes

Strong evidence favours bypass in diabetic patients with multivessel disease. The FREEDOM trial established this clearly.

Heart muscle function

The ejection fraction, how well your heart pumps, affects both the risk and likely benefit of each treatment option.

Kidney function

Kidney health is an important input into surgical risk scores and affects contrast dye management during procedures.

Prior heart surgery

A second operation on the chest carries significantly higher risk. Previous bypass often shifts the balance toward stenting.

Your preferences

Recovery time, lifestyle, and personal values matter. Where evidence supports either option, your informed preference shapes the decision.

Age and overall health. A fit 55-year-old and a frail 78-year-old with the same coronary anatomy may receive very different recommendations, and rightly so. For a patient with significant frailty, poor lung function, or multiple other medical conditions, the risks of surgery itself may outweigh its benefits, even when the anatomy would otherwise favour it.

Diabetes. Diabetes deserves special mention because the evidence here is particularly strong. The FREEDOM trial, a landmark study examining diabetic patients with multivessel coronary disease, found that bypass surgery produced meaningfully better long-term outcomes than stenting in this group. Diabetes accelerates disease progression throughout the coronary tree, and bypass surgery offers a degree of future-proofing that stents in individual lesions cannot replicate.

26%
relative reduction in major cardiovascular events with bypass surgery vs stenting at 5 years, in diabetic patients with multivessel coronary disease
Source: FREEDOM Trial, Farkouh ME et al, New England Journal of Medicine, 2012

Heart muscle function. How well your heart is pumping, measured as the ejection fraction, influences both the risk of any procedure and the likely benefit. The ten-year SYNTAX data showed that patients with reduced heart pumping function had significantly higher rates of adverse outcomes regardless of treatment, underlining the importance of protecting heart function from the outset.

Kidney function. Contrast dye used during angiography and stenting can stress the kidneys, and kidney function is an important input into surgical risk scores.

Previous heart surgery. A second operation on the chest carries significantly higher technical risk. In this situation, stenting, even for complex disease, may be the preferred option.

What you want. A patient who understands their options and has strong preferences about recovery time, lifestyle, or risk tolerance deserves to have those preferences heard and incorporated into the decision. This is not a minor consideration.

The lesions: your blockages

Number of vessels involved. Single-vessel disease is almost always treated with stenting when intervention is needed. Three-vessel disease is where the stents-versus-bypass discussion most often begins.

The left main coronary artery. This short but critical vessel supplies the majority of the heart muscle in most people. A significant blockage here carries particular weight and is always discussed by the full Heart Team.

Bifurcation lesions. Blockages at branching points are technically demanding to treat with stents and carry additional weight in the SYNTAX score.

Chronic total occlusions. An artery completely blocked for three months or more. CTOs can be opened with specialised stenting techniques by experienced operators, but they represent some of the most technically demanding work in interventional cardiology.

Calcification. Heavily calcified arteries resist the expansion needed to deploy a stent optimally. Specialised techniques, including rotational atherectomy, which uses a tiny high-speed burr to modify the calcium before stenting, have improved outcomes considerably.

Diffuse versus focal disease. Long segments of disease spread throughout a vessel are harder to treat completely with stents, and incomplete treatment is associated with worse outcomes than complete revascularisation.

What might push your team towards one option or the other

Your heart team will use scoring tools and imaging to guide their recommendation, but what most patients really want to know is: given my situation, which way does this tend to go? The table below sets out the circumstances that most commonly influence that decision, in plain terms. No single factor is decisive on its own; your team is weighing all of them together.

May favour bypass surgery
May favour stenting

Multiple blocked arteries with complex disease

Blockages in all three main coronary arteries, particularly with diffuse or complicated anatomy, can often be addressed more completely in a single bypass operation than through multiple stenting procedures.

Simpler or single-vessel disease

Where blockages are limited to one or two vessels, or the anatomy is straightforward, stenting achieves equivalent outcomes with far less recovery time. Surgery adds risk without adding benefit.

Diabetes

Diabetes tends to cause disease that is more widespread and progresses faster. Bypass surgery has shown consistently better long-term outcomes in this group, partly because it protects against future disease in vessels that appear normal today.

Chronic kidney disease

Significant kidney impairment increases the risk of complications from major surgery and general anaesthesia. When kidney disease is advanced, your team may judge that the risks of bypass outweigh its benefits, and stenting becomes the safer path.

Bleeding risk or inability to take blood thinners

Stenting requires two blood-thinning medications taken together for a period afterwards. If you have a significant bleeding history, need another operation soon, or cannot safely take these medicines, bypass surgery avoids this requirement entirely.

Significant lung disease or anaesthetic risk

Bypass requires a general anaesthetic and open-chest surgery. For patients with significant COPD, severe asthma, or other conditions affecting lung function, the anaesthetic risk alone may make bypass unsuitable. Stenting is performed under local anaesthetic and light sedation.

Good overall health and fitness for surgery

For a fit patient with complex multivessel disease, good heart and lung function, and no prior chest surgery, bypass offers highly durable revascularisation. The internal mammary artery graft has a patency rate exceeding 90% at ten years.

Advanced age or frailty

For older or frailer patients, the six to twelve week recovery from bypass, and the risks of major surgery, may outweigh the long-term advantage. A shorter procedure with a faster return to normal life is often the more appropriate choice.

Vessels suitable for graft attachment

Bypass works by attaching a graft vessel beyond the blockage. Where the artery beyond the blockage is of good calibre and accessible, grafts can be placed reliably and durably.

Disease in distal segments unsuitable for grafting

When disease affects the very end portions of coronary vessels, there may be no suitable landing point for a bypass graft. In this situation, stenting of accessible segments may be the only viable interventional option, even when the overall disease is complex.

Valve surgery also needed

If you need both coronary revascularisation and valve repair or replacement, bypass surgery and valve surgery can be performed together in a single operation. This avoids two separate procedures and is generally preferred when the surgical risk is acceptable. Your cardiac surgeon and cardiologist will weigh this carefully together.

High surgical risk with valve disease

Where surgery is considered too high risk, percutaneous options may be considered for both the coronary disease and the valve problem. For example, a patient with significant aortic valve disease and coronary artery disease who cannot safely undergo open-heart surgery may be considered for TAVI (transcatheter aortic valve implantation) alongside PCI. These decisions require particularly careful Heart Team discussion.

Good overall health and fitness for surgery

For a fit patient with complex multivessel disease, good heart and lung function, and no prior chest surgery, bypass offers highly durable revascularisation. The internal mammary artery graft has a patency rate exceeding 90% at ten years.

Previous open-heart surgery

A second operation on the chest carries significantly higher risk than a first. If you have had bypass surgery before, your team will almost always favour stenting for any subsequent coronary intervention, regardless of anatomy.

Remember

None of these factors is decisive on its own. Your heart team is weighing all of them together, alongside the precise detail of your coronary anatomy, to arrive at the recommendation that is right for you. If you are unsure why a particular approach has been recommended, ask. Understanding the reasoning will help you feel confident in the decision.

The scoring tools your heart team uses

No single score makes the decision. Together, the tools below help your team answer two distinct questions: how complex is this coronary disease to treat, and how much risk does this particular patient carry?

Tool What it measures Used by Output
SYNTAX score Coronary anatomy complexity: blockage location, severity, and technical difficulty Cardiologist and surgeon together Number: low, intermediate, or high complexity
SYNTAX Score II 2020 Anatomy plus clinical profile: age, kidney function, diabetes, lung disease, and more. Updated using 10-year follow-up data. Heart Team for complex cases Predicted outcomes with PCI vs CABG, side by side
EuroSCORE II Surgical risk: patient factors influencing the risk of the operation itself Cardiac surgeon Estimated % risk of adverse outcomes from the surgical procedure
STS score Surgical risk, complications, and likely hospital stay Cardiac surgeon Risk estimates for major complications and prolonged stay

A word of caution, and of reassurance

If you have been reading this section and finding yourself reaching for a calculator, I understand the impulse. Some of these scoring tools are accessible online, and I have no doubt that some of you will find them. My advice, as someone who spent decades helping to build these tools, is this: please use them as a conversation starter with your cardiologist, not as a verdict.

A SYNTAX score is calculated from a detailed analysis of your coronary angiogram by a trained clinician. The inputs are precise, technical, and require direct interpretation of imaging that takes years of experience to read accurately. More importantly, the score is only ever one input into a much larger conversation.

“No calculator has ever treated a patient. The decision about your coronary disease belongs to you and your team, together.”

Prof. Patrick W. Serruys

There is time

One of the things I most want patients to understand is that in the vast majority of cases, there is time. A patient with a heart attack in progress may require immediate intervention, but most patients facing the stents-versus-bypass conversation are not in that situation. They have had their angiogram. Their disease has been documented. They are stable.

Your case will typically be discussed at a formal Heart Team meeting, a structured review where your cardiologist and cardiac surgeon examine your imaging and scoring together and reach a consensus recommendation. You will then meet with each of them in turn. That process unfolds over days, sometimes a couple of weeks. It is not rushed.

The Heart Team model was built into the SYNTAX trial protocol from the very first meeting. It has since become a cornerstone of international cardiology guidelines. It exists for you.

When bypass surgery is the stronger choice

Bypass surgery, formally known as coronary artery bypass grafting (CABG), involves a cardiac surgeon creating new routes for blood to flow around blocked sections of your coronary arteries, using blood vessels harvested from elsewhere in your body, most often the internal mammary artery from inside your chest wall or the saphenous vein from your leg. It is open-heart surgery, requiring a general anaesthetic and a period on a cardiopulmonary bypass machine. Recovery takes weeks, not days. For the right patient, with the right anatomy, it remains one of the most effective and durable interventions in all of medicine.

Three-vessel disease with high SYNTAX score. The SYNTAX trial’s most consistent finding, confirmed at ten years of follow-up, was that patients with three-vessel disease and a high SYNTAX score had meaningfully better outcomes with bypass surgery, driven primarily by lower rates of repeat procedures and heart attack.

Diabetes with multivessel disease. The FREEDOM trial established clearly that diabetic patients with multivessel coronary disease do better with bypass surgery than stenting over the long term. The mechanism relates to the biology of diabetic coronary disease, diffuse, aggressive, and progressive, and the ability of bypass surgery to protect against future events.

Significant left main disease with additional complexity. For patients with left main disease combined with additional complex coronary disease, bypass surgery has consistently shown favourable long-term outcomes in the major trials.

When the patient is a good surgical candidate. A relatively young, fit patient with good heart and lung function, no prior sternotomy, and high-complexity three-vessel disease: this is the patient for whom bypass surgery was designed.

When prolonged dual antiplatelet therapy is a concern. Stenting requires dual antiplatelet therapy (DAPT), typically aspirin combined with a second agent such as clopidogrel or ticagrelor, for a period after the procedure to prevent clot formation within the stent. For patients who cannot tolerate prolonged DAPT due to bleeding risk, a planned surgical procedure, or other medical reasons, bypass surgery avoids this requirement entirely. The internal mammary artery graft does not carry the same clotting risk as a freshly deployed stent, making CABG a more appropriate choice in these situations.

When stenting is the right answer

Percutaneous coronary intervention (PCI, or stenting) involves a cardiologist passing a thin, flexible catheter through an artery in the wrist or groin, navigating it to the blocked coronary artery under X-ray guidance, and deploying a small metal scaffold, the stent, to open the artery and hold it open. Modern drug-eluting stents release a medication that prevents the artery from narrowing again. For the right patient, stenting offers something bypass surgery cannot: a same-day or next-day procedure, performed under local anaesthetic and light sedation, with most patients home within 24 to 48 hours.

Stenting (PCI) Bypass surgery (CABG)
How it works Catheter through wrist or groin; stent opens blockage from inside New routes around blockages using vessels from chest wall or leg
Anaesthetic Local anaesthetic and light sedation General anaesthetic
Hospital stay 24-48 hours for most patients 5-7 days typically
Recovery Days to 1-2 weeks to normal activity 6-12 weeks for full recovery
Best suited to Low to intermediate complexity; single or double vessel disease; high surgical risk High complexity; three-vessel disease; diabetes with multivessel disease; left main with complexity
Long-term durability Excellent in suitable anatomy; repeat procedures more common in complex disease Internal mammary artery graft patency exceeds 90% at 10 years
Repeat procedure risk Higher in complex multivessel disease Lower long-term repeat intervention rate in suitable patients
Antiplatelet therapy (DAPT) Required for a period post-procedure; bleeding risk and compliance must be considered No prolonged DAPT requirement; advantage in patients with bleeding concerns or planned surgery

Low to intermediate SYNTAX score. The clearest indication for stenting over surgery is relatively straightforward coronary anatomy where the disease can be treated completely and safely. In this setting, the SYNTAX trial showed outcomes comparable to bypass at five and ten years.

Single and double vessel disease. For patients with significant disease in one or two coronary arteries, stenting is almost universally the preferred approach when intervention is needed.

High surgical risk. Where the EuroSCORE II indicates surgical risk outweighs the anatomical benefit of bypass, stenting, even of complex disease, may be the right answer.

When DAPT can be safely maintained. Stenting requires a period of dual antiplatelet therapy after the procedure. Where a patient can reliably tolerate this without bleeding concerns or planned surgery, this is not a barrier. For patients where DAPT compliance is straightforward, stenting remains an excellent option in appropriate anatomy.

Left main disease in lower complexity settings. The EXCEL and NOBLE trials concluded that stenting is a reasonable option for left main disease when the overall SYNTAX score is low to intermediate and the anatomy is suitable for complete revascularisation with stents.

The technology has moved on. The stents available today are not the stents of the SYNTAX trial era. Current-generation ultrathin drug-eluting stents, deployed by experienced operators, produce results that were simply not achievable when the original trial was designed. The evidence base continues to evolve, and the decisions your heart team makes for you are grounded in the best of what we know today.

Conclusion

The science exists to serve the patient in front of you. Not the patient in a trial, not the average across a population, but the person in the room, with their particular anatomy, their history, and their hopes about what comes next. No score has ever accounted for that. Your Heart Team has.

To the question patients most often ask me, which is better, stents or bypass, the honest answer is: it depends, and that is not an evasion. For straightforward disease, stenting is an excellent treatment with outstanding outcomes and a far shorter recovery. For complex, multivessel disease, particularly with diabetes or a high SYNTAX score, bypass surgery has proven itself over decades of follow-up data. Both treatments, done well in the right patient, extend life and relieve symptoms. The goal of everything described in this article is to help your team identify which of those patients you are.

Ask questions. Ask your cardiologist to explain your SYNTAX score and what it means for you specifically. Ask the cardiac surgeon what recovery would look like. An informed patient is always a better partner in their own care.

Patrick W. Serruys

If you have been told you need stents or bypass surgery

Questions to ask your heart team:

  1. What is my SYNTAX score, and what does it mean for my specific situation?
  2. Has my case been discussed at a Heart Team meeting with a cardiac surgeon?
  3. Which treatment does the team recommend, and why?
  4. What are the risks of each option for me specifically, not in general, but for my anatomy and my health?
  5. If I choose stenting, will intracoronary imaging be used to guide the procedure?
  6. What happens if I need a repeat procedure in the future?
  7. How long do I have to make this decision, and who can I speak to if I have more questions?

There are no unreasonable questions when it comes to your heart. Your team expects them and welcomes them.

Prof. Patrick Serruys with Prof. Peter Barlis at Sydney Valves 2026

“During a recent visit to Australia for Sydney Valves 2026, I had the pleasure of reconnecting with Prof. Peter Barlis, my former PhD student and a longstanding collaborator. Peter has built something genuinely unique in Heart Matters, a patient education resource grounded in real clinical expertise, written by the people who actually treat these conditions. In a field where patients are often left to navigate complex decisions with little support, it fills an important gap. I was glad to contribute to it.”
Prof. Patrick W. Serruys
Photographed with Prof. Peter Barlis, Founding Editor of Heart Matters, Sydney Valves 2026

Key trials and research referenced in this article

  • SYNTAX trial: Serruys PW et al. Percutaneous coronary intervention versus coronary-artery bypass grafting for severe coronary artery disease. New England Journal of Medicine, 2009
  • SYNTAXES, 10-year follow-up: Thuijs D, Serruys PW et al. Percutaneous coronary intervention versus coronary artery bypass grafting in patients with three-vessel or left main coronary artery disease: 10-year follow-up. The Lancet, 2019
  • 10 Years of SYNTAX, state of the art review: Serruys PW et al. Closing an Era of Clinical Research After Identifying New Outcome Determinants. JACC: Asia, 2023
  • FREEDOM trial: Farkouh ME et al. Strategies for multivessel revascularization in patients with diabetes. New England Journal of Medicine, 2012
  • EXCEL trial: Stone GW et al. Everolimus-eluting stents or bypass surgery for left main coronary artery disease. New England Journal of Medicine, 2016
  • NOBLE trial: Makikallio T et al. Percutaneous coronary angioplasty versus coronary artery bypass grafting in treatment of unprotected left main stenosis. The Lancet, 2016

This article is intended for patient education only and does not constitute individual medical advice. Please discuss your specific circumstances with your treating cardiologist.