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Unveiling the Clinical Incapabilities: A Benchmarking Study of GPT-4V(ision) for Ophthalmic Multimodal Image Analysis

2023-11-27

Abstract excerpt

<h4>Purpose</h4> To evaluate the capabilities and incapabilities of a GPT-4V(ision)-based chatbot in interpreting ocular multimodal images. <h4>Methods</h4> We developed a digital ophthalmologist app using GPT-4V and evaluated its performance with a dataset (60 images, 60 ophthalmic conditions, 6 modalities) that included slit-lamp, scanning laser ophthalmoscopy (SLO), fundus photography of the posterior pole (FPP...

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Literature Corpus work
0740e7cc-6dfe-5bf1-b7d6-3cfc25d5175c
DOI
10.1101/2023.11.27.23299056
Open publication

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Unveiling the Clinical Incapabilities: A Benchmarking Study of GPT-4V(ision) for Ophthalmic Multimodal Image AnalysisDOI 10.1101/2023.11.27.23299056
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