Large Language Models for Interpreting Medical Examination Results — Nature

According to an article in Nature, large language models (LLMs) can effectively interpret the results of medical examinations, including laboratory tests and other diagnostic data. The models are capable of identifying abnormalities, suggesting probable diagnoses, and explaining results in understandable language. This could reduce the time doctors spend on routine analysis and improve communication with patients. The authors emphasize that such systems must undergo clinical validation and do not replace the physician, but could become a valuable decision-support tool.