Assessing the Accuracy of Diagnostic Capabilities of Large Language Models

Assessing the Accuracy of Diagnostic Capabilities of Large Language Models

<b>Background:</b> In recent years, numerous artificial intelligence applications, especially generative large language models, have evolved in the medical field. This study conducted a structured comparative analysis of four leading generative large language models (LLMs)—ChatGPT-4o (Op...

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Bibliographic Details
Main Authors: Andrada Elena Urda-Cîmpean, Daniel-Corneliu Leucuța, Cristina Drugan, Alina-Gabriela Duțu, Tudor Călinici, Tudor Drugan
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Diagnostics
Subjects:
diagnostic accuracy
large language modes
artificial intelligence
medical education
Online Access:https://www.mdpi.com/2075-4418/15/13/1657
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