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ASCO 2026 | Assessing the impact of AI across oncology in patients, clinicians & practice

Matthew Kurian, MD, St. Elizabeth Healthcare, Edgewood, KY, discusses the impact of artificial intelligence (AI) on oncology, highlighting its potential to affect patients, trainees, and global practice. AI has the largest impact on patients, with applications ranging from supportive care and improved physician-patient time to early screening and drug discovery. This interview took place during the 2026 American Society of Clinical Oncology (ASCO) Meeting in Chicago, IL.

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Transcript

AI is probably one of the fastest-growing platforms in oncology, and the proper use of it is something that will need to be discussed and implemented in the future. One of the things that, you know, my talk touches on is to understand exactly how, as an oncologist, this will affect trainees, the next generation, global practice in the world setting as well, and then also looking at how it affects patients, most importantly...

AI is probably one of the fastest-growing platforms in oncology, and the proper use of it is something that will need to be discussed and implemented in the future. One of the things that, you know, my talk touches on is to understand exactly how, as an oncologist, this will affect trainees, the next generation, global practice in the world setting as well, and then also looking at how it affects patients, most importantly. So I think if you look at how artificial intelligence can affect all three of these things, I think patients are probably the ones that I think it has the largest impact on as well. And that can encompass many different things that it can range from tools that help with supportive care, other things that touch on artificial intelligence scribes that help improve time with patients from a physician standpoint, and also improving time spent with patients as a result of that. Other things such as early screening, drug discovery, many potential applications that all affect patients over time. In terms of trainees, I think that artificial intelligence and the use of it in oncology specifically is at a critical point in time where we need to understand how artificial intelligence tools are being developed, what data is really going into that, and then how our trainees are utilizing that in their day-to-day life and as they become future oncologists in the future. When we look at the global workforce and how artificial intelligence can affect how care delivery is administered within low- to middle-income countries. You look at improving screening specifically as well, too, and there are many models and some tools that are now available that will help improve screening in areas that have, you know, limited resources overall, too, that will help improve detection, which will then improve the rates of cancer overall in those countries as well.

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