Diagnostic Performance of Publicly Available Large Language Models in Corneal Diseases: A Comparison with Human Specialists

Diagnostic Performance of Publicly Available Large Language Models in Corneal Diseases: A Comparison with Human Specialists

<b>Background/Objectives:</b> This study evaluated the diagnostic accuracy of seven publicly available large language models (LLMs)—GPT-3.5, GPT-4.o Mini, GPT-4.o, Gemini 1.5 Flash, Claude 3.5 Sonnet, Grok3, and DeepSeek R1—in diagnosing corneal diseases, comparing their performance to h...

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Main Authors: Cheng Jiao, Erik Rosas, Hassan Asadigandomani, Mohammad Delsoz, Yeganeh Madadi, Hina Raja, Wuqaas M. Munir, Brendan Tamm, Shiva Mehravaran, Ali R. Djalilian, Siamak Yousefi, Mohammad Soleimani
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Diagnostics
Subjects:
ChatGPT
large language models
corneal disease
artificial intelligence
Online Access:https://www.mdpi.com/2075-4418/15/10/1221
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