[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100612109":3},{"organization":4,"armGroups":7,"interventions":34,"overallOfficials":10,"centralContacts":10,"locations":10,"responsibleParty":39,"collaborators":10,"id":41,"slug":42,"hasResults":43,"nctId":44,"briefTitle":45,"officialTitle":46,"acronym":10,"eligibilityCriteria":47,"healthyVolunteers":43,"sex":48,"minAge":10,"maxAge":10,"enrollmentInfo":49,"targetDuration":10,"studyType":52,"phases":10,"briefSummary":53,"conditions":54,"keywords":10,"overallStatus":60,"whyStopped":10,"lastUpdateSubmitDate":61,"lastUpdatePostDateStruct":62,"startDateStruct":65,"completionDateStruct":67,"leadSponsor":69,"locationsCount":10},{"fullName":5,"class":6},"Peking Union Medical College Hospital","OTHER",[8,14,18,22,26,30],{"label":9,"type":10,"description":11,"interventionNames":12},"Diabetic Retinopathy Cohort",null,"Patients undergoing routine OCT\u002FOCTA examinations with clinically diagnosed diabetic retinopathy.",[13],"Other: No intervention",{"label":15,"type":10,"description":16,"interventionNames":17},"Branch Retinal Vein Occlusion Cohort","Patients with BRVO receiving standard clinical imaging evaluation.",[13],{"label":19,"type":10,"description":20,"interventionNames":21},"Central Retinal Vein Occlusion Cohort","Patients with CRVO undergoing OCT\u002FOCTA imaging as part of routine care.",[13],{"label":23,"type":10,"description":24,"interventionNames":25},"Age-related Macular Degeneration Cohort","Patients diagnosed with AMD and evaluated using OCT\u002FOCTA.",[13],{"label":27,"type":10,"description":28,"interventionNames":29},"Pathologic Myopia with Choroidal Neovascularization Cohort","Patients with pathologic myopia and CNV who undergo OCT\u002FOCTA imaging.",[13],{"label":31,"type":10,"description":32,"interventionNames":33},"Glaucoma Cohort","Patients with glaucoma-related optic nerve damage undergoing OCT\u002FOCTA imaging.",[13],[35],{"type":6,"name":36,"description":37,"armGroupLabels":38,"otherNames":10},"No intervention","This observational study involves no experimental intervention. All OCT and OCTA examinations are performed as part of routine clinical care, and the study only analyzes retrospectively and prospectively collected imaging and clinical data to evaluate a large-model-based AI diagnostic system.",[23,15,19,9,31,27],{"type":40,"investigatorFullName":10,"investigatorTitle":10,"investigatorAffiliation":10,"oldNameTitle":10,"oldOrganization":10},"SPONSOR","100612109","high-throughput-large-model-based-ai-assisted-diagnosis-using-oct-100612109",false,"NCT07249307","High-throughput Large-model-based AI-assisted Diagnosis Using OCT","Study on Key Technologies for High-throughput Large-model-based AI-assisted Diagnosis Using OCT","Inclusion Criteria:\n\n* 1\\. Patients of any age or sex who undergo OCT and\u002For OCT angiography (OCTA) examinations as part of routine clinical care at Peking Union Medical College Hospital.\n\n  2\\. Clinical diagnosis of at least one of the following conditions: Diabetic retinopathy, Branch retinal vein occlusion, Central retinal vein occlusion, Age-related macular degeneration, Pathologic myopia with choroidal neovascularization and Glaucoma with optic nerve damage.\n\n  3\\. Imaging quality sufficient for analysis based on predefined OCT\u002FOCTA quality control criteria.\n\n  4\\. Ability to provide informed consent (for prospective participants), or availability of medical records that meet institutional ethical requirements (for retrospective data).\n\nExclusion Criteria:\n\n\\- 1. Poor-quality OCT\u002FOCTA images that do not meet analysis standards (e.g., severe motion artifacts, media opacity, incomplete scans).\n\n2\\. Patients unable to cooperate with standard ophthalmic imaging procedures. 3. Any condition judged by investigators to preclude accurate imaging evaluation or reliable diagnostic interpretation.","ALL",{"count":50,"type":51},2000,"ESTIMATED","OBSERVATIONAL","This observational study aims to establish key technologies for high-throughput, large-model-based AI-assisted diagnosis using optical coherence tomography (OCT) and OCT angiography (OCTA). The study will collect real-world OCT\u002FOCTA images and corresponding clinical information from patients with common blinding retinal and optic nerve diseases at Peking Union Medical College Hospital.\n\nA high-throughput diagnostic framework based on large-scale artificial intelligence models will be developed and evaluated. The primary objective is to determine the diagnostic performance of the AI system, including its ability to identify diabetic retinopathy, branch retinal vein occlusion, central retinal vein occlusion, age-related macular degeneration, pathologic myopic choroidal neovascularization, and glaucoma-related optic nerve damage.\n\nThe results of this study are expected to support the development of standardized, efficient, and scalable AI-assisted diagnostic pathways for OCT imaging in clinical practice.",[55,56,57,58,59],"Diabetic Retinopathy (DR)","Retinal Vein Occlusion (RVO)","Age-Related Macular Degeneration (AMD)","Pathologic Myopia","Glaucoma","NOT_YET_RECRUITING","2025-11-18",{"date":63,"type":64},"2025-11-25","ACTUAL",{"date":66,"type":51},"2025-11-30",{"date":68,"type":51},"2028-12-31",{"name":5,"class":6}]