Tal Schuster

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Tal Schuster is a PhD student in Computer Science at MIT and a member of the Learning to Cure team. He is developing deep learning models that help reduce the radiologists’ workload by automating some of their routine tasks, improving risk assessment, detecting cancer earlier, and preventing overtreatment. Some of these methods are already successfully being used at Massachusetts General Hospital. Tal received his MSc in CS from Tel Aviv University and his BSc in Mathematics and CS from Ben-Gurion University. He had several key positions in the IDF, including leading a team of engineers working on automating procedures.

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