Study shows potential for generative AI to increase access and efficiency in healthcare

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Study shows potential for generative AI to increase access and efficiency in healthcare
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A new study led by investigators from Mass General Brigham has found that ChatGPT was about 72 percent accurate in overall clinical decision making, from coming up with possible diagnoses to making final diagnoses and care management decisions.

Reviewed by Lily Ramsey, LLMAug 22 2023 The large-language model artificial intelligence chatbot performed equally well in both primary care and emergency settings across all medical specialties. The research team's results are published in the Journal of Medical Internet Research.

Marc Succi, MD, corresponding author, associate chair of innovation and commercialization and strategic innovation leader at Mass General Brigham and executive director of the MESH Incubator The study was done by pasting successive portions of 36 standardized, published clinical vignettes into ChatGPT. The tool first was asked to come up with a set of possible, or differential, diagnoses based on the patient's initial information, which included age, gender, symptoms, and whether the case was an emergency.

Related Stories"ChatGPT struggled with differential diagnosis, which is the meat and potatoes of medicine when a physician has to figure out what to do," said Succi. "That is important because it tells us where physicians are truly experts and adding the most value-;in the early stages of patient care with little presenting information, when a list of possible diagnoses is needed.

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