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EBMT 2025 | The potential role of artificial intelligence in allogeneic transplantation

In this video, Gonzalo Bentolila, MD, PhD, FUNDALEU: Fundación contra la Leucemia, Buenos Aires, Argentina, briefly comments on the potential of artificial intelligence (AI) in allogeneic stem cell transplantation (alloSCT), highlighting its ability to analyze large datasets and predict early complications. Dr Bentolila also envisions AI facilitating the design of future clinical trials. This interview took place at the 51st Annual Meeting of the EBMT in Florence, Italy.

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Transcript

I think artificial intelligence is going to work a lot in allogeneic stem cell transplant because it’s going to change the way we are going to analyze data. It can take a very large amount of data, analyze it in a different way, and what we are doing right now is just using retrospective data. We still have limitations, but it’s moving forward really fast, especially in helping us in everyday practice to try to predict early complications during transplant, especially in radiology, where we can predict early complications like obliterative bronchiolitis...

I think artificial intelligence is going to work a lot in allogeneic stem cell transplant because it’s going to change the way we are going to analyze data. It can take a very large amount of data, analyze it in a different way, and what we are doing right now is just using retrospective data. We still have limitations, but it’s moving forward really fast, especially in helping us in everyday practice to try to predict early complications during transplant, especially in radiology, where we can predict early complications like obliterative bronchiolitis. But I think it’s gonna help us in the near future especially to make a new way to make clinical trials, go in vitro and direct it to the patient without having to experiment on patients first. I think that’s my insight.

 

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