Large Language Model Influence on Diagnostic Reasoning

By Ethan Goh, Robert J. Gallo, Jason Hom, Eric Strong, Yingjie Weng, H. Kerman, Joséphine A. Cool, Zahir Kanjee, Andrew S. Parsons, Neera Ahuja and 6 more. JAMA Network Open, 2024

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Key Points Question Does the use of a large language model (LLM) improve diagnostic reasoning performance among physicians in family medicine, internal medicine, or emergency medicine compared with conventional resources? Findings In a randomized clinical trial including 50 physicians, the use of an LLM did not significantly enhance diagnostic reasoning performance compared with the availability of only conventional resources. Meaning In this study, the use of an LLM did not necessarily enhance diagnostic reasoning of physicians beyond conventional resources; further development is needed to effectively integrate LLMs into clinical practice.

Subfields: Family Practice, Health Informatics, Public Health, Environmental and Occupational Health

View Paper: https://www.semanticscholar.org/paper/6799808c449fa70ae4abf5348d3d711f0e605e0e