Generative pre-trained transformer (GPT)-4 support for differential diagnosis in neuroradiology.

ABSTRACT:

Background

Differential diagnosis in radiology relies on the accurate identification of imaging patterns. The use of large language models (LLMs) in radiology holds promise, with many potential applications that may enhance the efficiency of radiologists' workflow. The study aimed to evaluate the efficacy of generative pre-trained transformer (GPT)-4, a LLM, in providing differential diagnoses in neuroradiology, comparing its performance with board-certified neuroradiologists.

Methods

Sixty neuroradiology reports with variable diagnoses were inserted into GPT-4, which was tasked with generating a top-3 differential diagnosis for each case. The results were compared to the true diagnoses and to the differential diagnoses provided by three blinded neuroradiologists. Diagnostic

SUBMITTER: Sorin V 

PROVIDER: S-EPMC11485343 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature