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February 16, 2024British Journal of OphthalmologyOpen Access

Assessing the medical reasoning skills of GPT-4 in complex ophthalmology cases

Daniel Milad Fares Antaki Jason Milad Andrew Farah Thomas Khairy David Mikhail Charles‐Édouard Giguère Samir Touma Allison Bernstein Andrei-Alexandru Szigiato Taylor Nayman Guillaume A. Mullie Renaud Duval

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Abstract

This study assesses the proficiency of Generative Pre-trained Transformer (GPT)-4 in answering questions about complex clinical ophthalmology cases.

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Cite This Study

Milad et al. (2024) studied this question.

synapsesocial.com/papers/68e78cf2b6db6435876fed1b https://doi.org/10.1136/bjo-2023-325053

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Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Hidden flaws behind expert-level accuracy of multimodal GPT-4 vision in medicine2024 · 142 citations
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4The performance of ChatGPT on medical image-based assessments and implications for medical education2025 · 13 citations
5Evaluating the Accuracy and Completeness of Artificial Intelligence Responses Against Established Otology Guidelines2024 · 3 citations

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