Early-stage medical AI struggles to diagnose, study finds

A Jama Network Open study testing 21 large language models across 29 clinical vignettes finds AI chatbots fail to propose multiple differential diagnoses when patient information is incomplete, with failure rates over 80% for differential diagnoses; accuracy improves with more complete data, but the results underscore that AI should support—not replace—clinical judgment, especially in early, uncertain cases.