Performance of GPT-4V(ision) in Ophthalmology: Use of Images in Clinical Questions
Kosei Tomita,
Takashi Nishida,
Yoshiyuki Kitaguchi
et al.
Abstract:Background/aims: To compare the diagnostic accuracy of Generative Pre-trained Transformer with Vision (GPT)-4 and GPT-4 with Vision (GPT-4V) for clinical questions in ophthalmology. Methods: The questions were collected from the "Diagnosis This" section on the American Academy of Ophthalmology website. We tested 580 questions and presented GPT-4V with the same questions under two conditions: 1) multimodal model, incorporating both the question text and associated images, and 2) text-only model. We then compare… Show more
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