[famouswaffles]

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10425828/ Use of GPT-4 to Analyze Medical Records of Patients With Extensive Investigations and Delayed Diagnosis

"Six patients 65 years or older (2 women and 4 men) were included in the analysis. The accuracy of the primary diagnoses made by GPT-4, clinicians, and Isabel DDx Companion was 4 of 6 patients (66.7%), 2 of 6 patients (33.3%), and 0 patients, respectively. If including differential diagnoses, the accuracy was 5 of 6 (83.3%) for GPT-4, 3 of 6 (50.0%) for clinicians, and 2 of 6 (33.3%) for Isabel DDx Companion"

[not2b]

Six patients is a long way from persuasive evidence, because with so few patients randomness is going to be a large factor. And it appears that the six were chosen from the set of patients that doctors were having trouble diagnosing, which may put a thumb on the scale against doctors. But yes, it certainly suggests that a larger study might be worth doing (also including patients diagnosed correctly by doctors, to catch cases where GPT-4 doesn't do as well).