Evaluation of ChatGPT-Generated Differential Diagnosis for Common Diseases With Atypical Presentation: Descriptive Research.

ABSTRACT:

Background

The persistence of diagnostic errors, despite advances in medical knowledge and diagnostics, highlights the importance of understanding atypical disease presentations and their contribution to mortality and morbidity. Artificial intelligence (AI), particularly generative pre-trained transformers like GPT-4, holds promise for improving diagnostic accuracy, but requires further exploration in handling atypical presentations.

Objective

This study aimed to assess the diagnostic accuracy of ChatGPT in generating differential diagnoses for atypical presentations of common diseases, with a focus on the model's reliance on patient history during the diagnostic process.

Methods

We used 25 clinical vignettes from the Journal of Generalist Medicine characterizing atyp

SUBMITTER: Shikino K 

PROVIDER: S-EPMC11199925 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature