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Performance of Large Language Models for Structured Recognition and Refractive Prediction

Recruitingn/aAges 18 Years - anyAllJin Yang
NCT07183891 on ClinicalTrials.gov ↗
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In plain words

What the trial is, and whether it could suit you

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 agreement on ordered T-codes. No clinical intervention was performed.

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📋 Eligibility rules (as published)
Inclusion Criteria: -postoperative corrected distance visual acuity (CDVA) of 0.10 logMAR or better -an absolute IOL rotational stability of less than 10∘ at the 1-month follow-up examination Exclusion Criteria: * incomplete biometric data on the examination report; * a history of previous ocular surgery or ocular trauma * the occurrence of intraoperative complications, such as an anterior capsular tear or posterior capsular rupture * the development of significant postoperative complications, including but not limited to severe intraocular infection or inadequate pupillary dilation.
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What it tests

  • Not listed
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Where

1 site
Eye and ENT hospital of Fudan University
Shanghai, China
🤝 Taking part is your choice, and you can leave at any time. Only the trial team can confirm you are eligible — always decide together with your own doctor.
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