[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100607079":3},{"organization":4,"armGroups":7,"interventions":7,"overallOfficials":7,"centralContacts":8,"locations":14,"responsibleParty":32,"collaborators":7,"id":36,"slug":37,"hasResults":38,"nctId":39,"briefTitle":40,"officialTitle":41,"acronym":7,"eligibilityCriteria":42,"healthyVolunteers":38,"sex":43,"minAge":44,"maxAge":7,"enrollmentInfo":45,"targetDuration":7,"studyType":48,"phases":7,"briefSummary":49,"conditions":50,"keywords":52,"overallStatus":17,"whyStopped":7,"lastUpdateSubmitDate":56,"lastUpdatePostDateStruct":57,"startDateStruct":60,"completionDateStruct":62,"leadSponsor":64,"locationsCount":65},{"fullName":5,"class":6},"Eye & ENT Hospital of Fudan University","OTHER",null,[9],{"name":10,"role":11,"phone":12,"phoneExt":7,"email":13},"Xuanqiao Lin","CONTACT","+8615088920668","1532483480@qq.com",[15],{"facility":16,"status":17,"city":18,"state":19,"zip":20,"country":21,"countryCode":22,"cosmosGeoPoint":23,"geoPoint":28,"contacts":29},"Eye and ENT hospital of Fudan University","RECRUITING","Shanghai","Shanghai Municipality","200000","China","CN",{"type":24,"coordinates":25},"Point",[26,27],121.45806,31.22222,{"lat":27,"lon":26},[30],{"name":10,"role":11,"phone":31,"phoneExt":7,"email":13},"15088920668",{"type":33,"investigatorFullName":34,"investigatorTitle":35,"investigatorAffiliation":5,"oldNameTitle":7,"oldOrganization":7},"SPONSOR_INVESTIGATOR","Jin Yang","Chief Physician","100607079","performance-of-large-language-models-for-structured-recognition-and-refractive-prediction-100607079",false,"NCT07183891","Performance of Large Language Models for Structured Recognition and Refractive Prediction","Head-to-Head Evaluation of ChatGPT 4o, GPT-5, and DeepSeek for Structured Extraction, Toric IOL Recommendation, and Refractive Prediction","Inclusion Criteria:\n\n-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\n\nExclusion Criteria:\n\n* incomplete biometric data on the examination report;\n* a history of previous ocular surgery or ocular trauma\n* the occurrence of intraoperative complications, such as an anterior capsular tear or posterior capsular rupture\n* the development of significant postoperative complications, including but not limited to severe intraocular infection or inadequate pupillary dilation.","ALL","18 Years",{"count":46,"type":47},100,"ESTIMATED","OBSERVATIONAL","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.",[51],"Cataract",[53,54,55],"cataract","toric IOL","astigmatism","2025-09-14",{"date":58,"type":59},"2025-09-19","ACTUAL",{"date":61,"type":59},"2025-08-01",{"date":63,"type":47},"2035-12-31",{"name":34,"class":6},1]