Investigators 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.
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. The large-language model artificial intelligence chatbot performed equally well in both primary care and emergency settings across all medical specialties.
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.
"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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