[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"posterior-chamber-phakic-intraocular-lens\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:posterior-chamber-phakic-intraocular-lens":26},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,1,0,[8],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":4,"eligibilityCriteria":15,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":19,"enrollmentInfo":20,"targetDuration":4,"studyType":23,"phases":4,"briefSummary":24,"conditions":25,"keywords":31,"overallStatus":32,"whyStopped":4,"lastUpdateSubmitDate":33,"lastUpdatePostDateStruct":34,"startDateStruct":37,"completionDateStruct":39,"leadSponsor":41,"locationsCount":5},"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":21,"type":22},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",[26,27,28,29,30],"Posterior Chamber Phakic Intraocular Lens","Vault","Deep Neural Network","Myopia","Anterior Chamber Angle",[26,27,28],"RECRUITING","2026-04-21",{"date":35,"type":36},"2026-04-24","ACTUAL",{"date":38,"type":36},"2021-01-02",{"date":40,"type":22},"2027-08-31",{"name":42,"class":43},"Second Affiliated Hospital of Nanchang University","OTHER"]