GPT-4 Multimodal Analysis on Ophthalmology Clinical Cases Including Text and Images

Vera Sorin, Noa Kapelushnik, Idan Hecht, Ofira Zloto, Benjamin S. Glicksberg, Hila Bufman, Yiftach Barash, Girish N. Nadkarni, Eyal Klang
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Abstract

Objective Recent advancements in GPT-4 have enabled analysis of text with visual data. Diagnosis in ophthalmology is often based on ocular examinations and imaging, alongside the clinical context. The aim of this study was to evaluate the performance of multimodal GPT-4 (GPT-4V) in an integrated analysis of ocular images and clinical text.
眼科学临床病例的GPT-4多模态分析包括文字和图像
GPT-4的最新进展使文本分析与视觉数据成为可能。眼科的诊断通常是基于眼部检查和成像,以及临床情况。本研究的目的是评估多模态GPT-4 (GPT-4V)在眼部图像和临床文本的综合分析中的表现。
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