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NCT07249307Not yet recruiting

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

Source: ClinicalTrials.gov · Last updated 25 Nov 2025

Brief summary (registry, in English)

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/OCTA images and corresponding clinical information from patients with common blinding retinal and optic nerve diseases at Peking Union Medical College Hospital. A 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. The 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.

Status (registry)
Not yet recruiting
Study type
Observational
Enrollment
2000 (estimated)
First submitted
18 Nov 2025
Start date
30 Nov 2025
Primary completion date
15 Jun 2028
Lead sponsor
Peking Union Medical College Hospital
NCT number
NCT07249307

What you commit to

  • Study type: Observational
  • Planned participants: 2000
  • From 30 Nov 2025 to the primary completion date, 15 Jun 2028
  • No sites listed in no country
  • Visits and tests: ask the trial team, the registry does not list them

Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.

Who cannot take part

Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.

Other illness

  • 2\. Patients unable to cooperate with standard ophthalmic imaging procedures. 3. Any condition judged by investigators to preclude accurate imaging evaluation or reliable diagnostic interpretation.

Other

  • \- 1. Poor-quality OCT/OCTA images that do not meet analysis standards (e.g., severe motion artifacts, media opacity, incomplete scans).

Who the study is looking for

  • 1\. Patients of any age or sex who undergo OCT and/or OCT angiography (OCTA) examinations as part of routine clinical care at Peking Union Medical College Hospital.
    • 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.
    • 3\. Imaging quality sufficient for analysis based on predefined OCT/OCTA quality control criteria.
    • 4\. Ability to provide informed consent (for prospective participants), or availability of medical records that meet institutional ethical requirements (for retrospective data).

Sex: All · Does not accept healthy volunteers

Full criteria on ClinicalTrials.gov

This page is information, not medical advice. Discuss any trial with your doctor.