[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100567556":3},{"organization":4,"armGroups":7,"interventions":14,"overallOfficials":10,"centralContacts":20,"locations":30,"responsibleParty":49,"collaborators":10,"id":53,"slug":54,"hasResults":55,"nctId":56,"briefTitle":57,"officialTitle":58,"acronym":10,"eligibilityCriteria":59,"healthyVolunteers":60,"sex":61,"minAge":62,"maxAge":63,"enrollmentInfo":64,"targetDuration":10,"studyType":67,"phases":10,"briefSummary":68,"conditions":69,"keywords":75,"overallStatus":33,"whyStopped":10,"lastUpdateSubmitDate":76,"lastUpdatePostDateStruct":77,"startDateStruct":80,"completionDateStruct":82,"leadSponsor":84,"locationsCount":85},{"fullName":5,"class":6},"Second Affiliated Hospital of Nanchang University","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":12},"Eyes with ICL surgeries",null,"Eyes with SMILE surgeries which were performed by surgeons with experiences.",[13],"Diagnostic Test: AI diagnostic algorithm",[15],{"type":16,"name":17,"description":18,"armGroupLabels":19,"otherNames":10},"DIAGNOSTIC_TEST","AI diagnostic algorithm","The ICL procedures collected would be assessed by the algorithm. The performance of the algorithm would be assessed, including accuracy, AUC, sensitivity and specificity.",[9],[21,26],{"name":22,"role":23,"phone":24,"phoneExt":10,"email":25},"Jian Xiong doctor","CONTACT","+8618170906556","894040417@qq.com",{"name":27,"role":23,"phone":28,"phoneExt":10,"email":29},"Fu Gui docter","+8613879101919","564436578@qq.com",[31],{"facility":32,"status":33,"city":34,"state":35,"zip":36,"country":37,"countryCode":38,"cosmosGeoPoint":39,"geoPoint":44,"contacts":45},"The Second Affiliated Hospital of Nanchang University","RECRUITING","Nanchang","Jiangxi","330000","China","CN",{"type":40,"coordinates":41},"Point",[42,43],115.85306,28.68396,{"lat":43,"lon":42},[46,47],{"name":22,"role":23,"phone":24,"phoneExt":10,"email":25},{"name":48,"role":23,"phone":28,"phoneExt":10,"email":29},"Fu Gui doctor",{"type":50,"investigatorFullName":51,"investigatorTitle":52,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"PRINCIPAL_INVESTIGATOR","Jian Xiong","Associate research fellow; Attending physician","100567556","study-on-the-diagnostic-efficacy-of-icl-selection-and-prediction-depth-model-based-on-eye-images-100567556",false,"NCT06669728","Study on the Diagnostic Efficacy of ICL Selection and Prediction Depth Model Based on Eye Images","Diagnostic Efficacy of Deep Neural Network Algorithm Based on Preoperative Scheimpflug-based Anterior Segment Image for Implantable Collamer Lens Selection and Prediction","Inclusion Criteria:\n\n1. Aged 18-45 years ;\n2. Myopia, with or without astigmatism, annual diopter change ≤ 0.50 D for 2 consecutive years ;\n3. Anterior chamber depth ≥ 2.80 mm ;\n4. Corneal endothelial cell count ≥ 2000 \u002F mm2, stable cell morphology ;\n5. There were no other ocular diseases that significantly affected vision and \u002F or systemic organic lesions that affected surgical recovery.\n\nExclusion Criteria:\n\n1. There were no other ocular diseases that significantly affected vision and \u002F or systemic organic lesions that affected surgical recovery;\n2. Have a history of corneal refractive surgery or intraocular surgery ;\n3. Corneal endothelial cell count is low ;\n4. Those with systemic diseases ;\n5. Lactating or pregnant women.",true,"ALL","18 Years","45 Years",{"count":65,"type":66},326,"ESTIMATED","OBSERVATIONAL","To evaluate the diagnostic efficacy of deep learning network model in implantable collamer lens selection and prediction in a multicenter cross-sectional study",[70,71,72,73,74],"Posterior Chamber Phakic Intraocular Lens","Vault","Deep Neural Network","Myopia","Anterior Chamber Angle",[70,71,72],"2026-04-21",{"date":78,"type":79},"2026-04-24","ACTUAL",{"date":81,"type":79},"2021-01-02",{"date":83,"type":66},"2027-08-31",{"name":5,"class":6},1]