[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100604224":3},{"organization":4,"armGroups":7,"interventions":14,"overallOfficials":10,"centralContacts":20,"locations":26,"responsibleParty":47,"collaborators":10,"id":51,"slug":52,"hasResults":53,"nctId":54,"briefTitle":55,"officialTitle":56,"acronym":10,"eligibilityCriteria":57,"healthyVolunteers":53,"sex":58,"minAge":59,"maxAge":60,"enrollmentInfo":61,"targetDuration":10,"studyType":64,"phases":10,"briefSummary":65,"conditions":66,"keywords":71,"overallStatus":29,"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 ICL surgeries which were performed by surgeons with experiences.",[13],"Diagnostic Test: Corneal tomography generation model after ICL surgery",[15],{"type":16,"name":17,"description":18,"armGroupLabels":19,"otherNames":10},"DIAGNOSTIC_TEST","Corneal tomography generation model after ICL surgery","The ICL procedures collected would be assessed by the corneal tomography generation model. The performance of the model would be assessed, including accuracy,AUC, sensitivity and specificity.",[9],[21],{"name":22,"role":23,"phone":24,"phoneExt":10,"email":25},"Fu F Gui","CONTACT","+8613879101919","564436578@qq.com",[27],{"facility":28,"status":29,"city":30,"state":31,"zip":10,"country":32,"countryCode":33,"cosmosGeoPoint":34,"geoPoint":39,"contacts":40},"The Second Affiliated Hospital of Nanchang University","RECRUITING","Nanchang","Jiangxi","China","CN",{"type":35,"coordinates":36},"Point",[37,38],115.85306,28.68396,{"lat":38,"lon":37},[41,43],{"name":42,"role":23,"phone":24,"phoneExt":10,"email":25},"Fu Gui, doctor",{"name":44,"role":23,"phone":45,"phoneExt":10,"email":46},"Jian Xiong, doctor","+8618170906556","894040417@qq.com",{"type":48,"investigatorFullName":49,"investigatorTitle":50,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"PRINCIPAL_INVESTIGATOR","Fu Gui","Associate research fellow; Attending physician","100604224","predictive-performance-of-a-generative-model-for-corneal-tomography-after-icl-implantation-100604224",false,"NCT07146737","Predictive Performance of a Generative Model for Corneal Tomography After ICL Implantation","Predictive Performance of a Generative Model for Corneal Tomography After Implantable Collamer Lens Implantation","Inclusion Criteria:(1) stable myopia (≤0.50D\u002Fyear change for 2 years), (2) ACD ≥2.80mm, (3) intact corneal endothelium (≥2000 cells\u002Fmm²), and (4) no confounding ocular\u002Fsystemic conditions.\n\nExclusion Criteria:(1) glaucoma-spectrum disorders or retinal vasculopathies, (2) prior corneal\u002Fintraocular surgery, (3) compromised corneal endothelium, (4) uncontrolled systemic diseases, and (5) pregnancy\u002Flactation.","ALL","18 Years","45 Years",{"count":62,"type":63},818,"ESTIMATED","OBSERVATIONAL","To evaluate the efficacy of a corneal tomography Imaging model in predicting postoperative vault based on preoperative corneal topography in Implantable Collamer Lens (ICL) surgery.",[67,68,69,70],"ICL","Vault","Deep Learning","AI (Artificial Intelligence)",[72,73,74,75,69],"Implantable Collamer Lens (ICL) implantation surgery","Corneal tomography","vault","Artificial Intelligence","2025-08-21",{"date":78,"type":79},"2025-08-28","ACTUAL",{"date":81,"type":79},"2025-07-01",{"date":83,"type":63},"2028-12-31",{"name":5,"class":6},1]