[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"keratopathy\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:keratopathy":28},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,59],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":13,"acronym":14,"eligibilityCriteria":15,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":19,"targetDuration":4,"studyType":22,"phases":4,"briefSummary":23,"conditions":24,"keywords":41,"overallStatus":46,"whyStopped":4,"lastUpdateSubmitDate":47,"lastUpdatePostDateStruct":48,"startDateStruct":51,"completionDateStruct":53,"leadSponsor":55,"locationsCount":58},"100643686","development-of-a-mobile-terminal-based-intelligent-detection-system-for-multiple-anterior-segment-diseases-of-the-eye-100643686",false,"NCT07634913","Development of a Mobile Terminal-Based Intelligent Detection System for Multiple Anterior Segment Diseases of the Eye","LENS","Inclusion Criteria:\n\n* Adults aged 18 years or older;\n* Willing to participate and able to provide written informed consent prior to enrollment.\n\nExclusion Criteria:\n\n* Unable to cooperate with anterior segment image capture (including smartphone-based photography or slit-lamp biomicroscopy).",true,"ALL","18 Years",{"count":20,"type":21},3000,"ESTIMATED","OBSERVATIONAL","This is a multi-center, cross-sectional study evaluating a smartphone-based artificial intelligence (AI) system for anterior segment eye disease screening. The system is designed to identify 16 clinically important anterior segment conditions from images captured using a standard Android smartphone. A core design feature of the system is that all image analysis is performed entirely on the smartphone itself, without requiring internet connectivity or cloud-based server infrastructure.\n\nThe study is motivated by a structural challenge in the deployment of medical AI: systems that depend on cloud infrastructure for inference are non-functional in settings without reliable internet access, which disproportionately excludes populations in low-resource regions where the burden of preventable eye disease is highest. This study evaluates whether an on-device AI system, designed with operational constraints as a primary engineering objective, can deliver clinically acceptable diagnostic performance while remaining operable under real-world connectivity limitations.\n\nThe study comprises five evaluation components. First, the diagnostic performance of the AI system is benchmarked against board-certified ophthalmologists of varying seniority on a standardized set of smartphone-captured anterior segment images. Second, the usability of the system is evaluated among non-medical users who perform self-administered screening with minimal instruction, with per-screening time recorded across consecutive attempts to characterize the learning curve. Third, a head-to-head field trial directly compares the on-device AI system against a functionally equivalent cloud-based deployment of the same model architecture across key operational dimensions including screening duration, diagnostic performance, and user acceptability. Fourth, population-level screening is conducted among consecutively enrolled community residents at two low-resource sites, with per-disease sensitivity and specificity calculated against reference-standard slit-lamp examinations. Fifth, pre-specified health-economic and environmental analyses compare the two deployment modalities in terms of per-person screening cost, cost-effectiveness, per-inference electricity consumption, and projected carbon emissions at scale.\n\nThe reference standard for all diagnostic comparisons is slit-lamp biomicroscopic examination performed by board-certified ophthalmologists. The study is designed and reported in accordance with the DECIDE-AI reporting guideline for early-stage clinical evaluation of AI-driven decision-support systems.",[25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40],"Artifical Intelligence","Cataract","Pterygium","Keratopathy","Subconjunctival Hemorrhage","Conjunctivitis","Stye","Blepharitis","Entropion","Ectropion","Exophthalmos","Irregular Pupils","Conjunctival Concretions","Hyphema","Hypopyon","Corneal Transplant Status",[42,43,44,45],"Artificial Intelligence","Standalone Deployment","Smartphone","Eye Disease Screening","RECRUITING","2026-06-08",{"date":49,"type":50},"2026-06-09","ACTUAL",{"date":52,"type":50},"2023-12-12",{"date":54,"type":21},"2028-12",{"name":56,"class":57},"Zhongshan Ophthalmic Center, Sun Yat-sen University","OTHER",1,{"id":60,"slug":61,"hasResults":11,"nctId":62,"briefTitle":63,"officialTitle":64,"acronym":4,"eligibilityCriteria":65,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":66,"enrollmentInfo":67,"targetDuration":4,"studyType":22,"phases":4,"briefSummary":69,"conditions":70,"keywords":75,"overallStatus":46,"whyStopped":4,"lastUpdateSubmitDate":80,"lastUpdatePostDateStruct":81,"startDateStruct":83,"completionDateStruct":85,"leadSponsor":87,"locationsCount":58},"100381786","dresden-corneal-disease-and-treatment-study-100381786","NCT04251143","Dresden Corneal Disease and Treatment Study","Dresden Corneal Disease and Treatment Study - Analysis for Quality Inspection of Follow-up and Treatment Procedures of Corneal Diseases of the Department of Ophthalmology (University Hospital Carl Gustav Carus Dresden)","Inclusion Criteria:\n\n* corneal disease\n* corneal ectasia\n\nExclusion Criteria:\n\n* pregnancy\n* age under 18 years","65 Years",{"count":68,"type":21},700,"The purpose of this study is long-term follow up of patients with corneal diseases to analyze the quality of surgical interventions and diagnosis. Corneal ectasia, especially keratoconus, is a corneal disease that leads to an irreversible loss of visual acuity while the cornea becomes steeper, thinner and irregular. For these patients, surgical intervention (e.g. corneal cross-linking) is performed, in case of disease progression. Overall, a long-term follow up is needed to evaluate an early disease progression as well as corneal stability after surgical intervention.",[71,72,73,74,28],"Corneal Ectasia","Corneal Disease","Corneal Astigmatism","Keratoconus",[76,77,74,78,79],"Cornea","Ectasia","Cross-Linking","Keratoplasty","2023-02-27",{"date":82,"type":50},"2023-02-28",{"date":84,"type":50},"2018-03-12",{"date":86,"type":21},"2030-12-31",{"name":88,"class":57},"Technische Universität Dresden"]