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Teaching AI to ask clinical questions

Researchers, including those affiliated with IMES, have made strides toward machine-learning models that can help doctors more efficiently find information in a patient’s health record. Physicians often query a patient’s electronic health record for information that helps them make treatment decisions, but the cumbersome nature of these records hampers the…

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Professor Collin Stultz named co-director of HST, and associate director of IMES

Stultz will leverage his research into machine learning and computer science, as well as his role as a practicing cardiologist Collin M. Stultz, MD, PhD, the Nina T. and Robert H. Rubin Professor in Medical Engineering and Science, has been named co-director of the Harvard-MIT Program in Health Sciences and…

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Deep-learning technique predicts clinical treatment outcomes

A new methodology simulates counterfactual, time-varying, and dynamic treatment strategies, allowing doctors to choose the best course of action. When it comes to treatment strategies for critically ill patients, clinicians want to be able to consider all their options and timing of administration, and make the optimal decision for their…

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New members with MIT ties elected to the National Academy of Medicine for 2021

National Academy of Medicine inductees, recognized for contributions to medical sciences, health care, and public health, include two HST alums. The National Academy of Medicine (NAM) has announced the election of 100 new members for 2021, including two MIT faculty members and three additional Institute affiliates. Faculty honorees include Linda G….

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