U.S., Sept. 20 -- ClinicalTrials.gov registry received information related to the study (NCT07183891) titled 'Performance of Large Language Models for Structured Recognition and Refractive Prediction' on Sept. 14.
Brief Summary: We conducted a single-center, retrospective observational study to evaluate large language models (ChatGPT 4o, GPT-5, DeepSeek) for automated interpretation of de-identified IOLMaster 700 reports provided as raster images. Models produced structured biometric extraction, toric IOL recommendation, and refractive predictions (sphere, cylinder, axis). Primary outcomes included parameter-level agreement and refractive error metrics; secondary outcomes included decision-support performance for toric IOL selection and ag...