Early Detection of Keratoconus Using Corneal Tomography Image Analysis by GPT-5.4
Noa Kapelushnik, Daniela Kamar, Jacob Megreli, Olga Reitblat et autres
PURPOSE: To evaluate the diagnostic performance and limitations of a general-purpose multimodal large language model (GPT-5.4) in detecting early keratoconus (KC) using corneal tomography images. METHODS: This retrospective study included 66 eyes: 15 with subclinical KC, 18 with forme fruste keratoconus (ffKC), …
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