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ASH 2025 | Using AI to manage information overload, advance care, and support clinical decisions

In this video, David Swoboda, MD, Tampa General Hospital Cancer Center, Tampa, FL, discusses the rapid expansion of artificial intelligence (AI) applications in hematology and emphasizes the need to translate these innovations into practical, clinician-friendly tools that support decision-making and improve efficiency in patient care. This interview took place at the 67th ASH Annual Meeting and Exposition, held in Orlando, FL.

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Transcript

Yeah, you know, I think right now you’ll see a lot of really exciting abstracts in AI at ASH and other major conferences. You know, I think the challenge right now is, you know, we’re focused on a lot of machine learning models. We also are focused on, you know, things like digital twin technology, basically synthetic patients, and you know, I think the area of need is actually taking some of these things that are extremely exciting from a technological standpoint but actually moving it forward as something that a patient-facing physician would actually be able to use in their everyday practice, and so I think that’s a pretty big gap...

Yeah, you know, I think right now you’ll see a lot of really exciting abstracts in AI at ASH and other major conferences. You know, I think the challenge right now is, you know, we’re focused on a lot of machine learning models. We also are focused on, you know, things like digital twin technology, basically synthetic patients, and you know, I think the area of need is actually taking some of these things that are extremely exciting from a technological standpoint but actually moving it forward as something that a patient-facing physician would actually be able to use in their everyday practice, and so I think that’s a pretty big gap.

You know, the area that we’re doing well in in that is digital pathology. I think, you know, our pathologists are starting to have, you know, AI integration in what they do, really to streamline their processes and make things a lot more efficient, but we need to get that into the clinic. We need to get that into, you know, the people that are taking care of, you know, complex patients every single day and even more importantly, I think if we can get it in front of people that are dealing with the challenges of the increasing amount of information in cancer and the inability to really keep up with the vast amount that’s there. You know, using and leveraging artificial intelligence to help bridge that gap of information and to help with decision-support tools and really guideline-based practice will be extremely valuable for physicians to speed up their time in clinic, make things more efficient, and ultimately what they do on a day-to-day basis.

 

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