Multi-modal Intelligent Diagnosis System for Multiple Ophthalmic Diseases

NCT ID: NCT07143851

Last Updated: 2025-08-27

Basic Information

• Recruitment Status: NOT_YET_RECRUITING
• Total Enrollment: 5000 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2025-08-30
• Study Completion Date: 2028-06-30

Brief Summary

Aiming at the problems of low image reading efficiency, crowded medical resources and fragmented cross-modal information of ophthalmic OCT and OCTA, a multimodal large model diagnostic framework for various diseases such as retinal diseases and optic nerve damage in glaucoma is constructed to fully explore the complementary information of various images such as SS-OCT structural images, SS-OCTA vascular images and optic nerve scans. Extract cross-modal joint features to improve the accuracy of automatic diagnosis.

Conditions

Retina Disease; Glaucoma

Study Design

• Observational Model Type: OTHER
• Study Time Perspective: CROSS_SECTIONAL

Interventions

Not applicable- observational study

There is no special intervention method

Intervention Type: OTHER

Eligibility Criteria

Inclusion Criteria

• Diagnosed as macular degeneration, diabetic macular edema, retinal vein obstructive macular edema, high myopia, glaucoma or other clearly diagnosed ophthalmic diseases. The SS-OCT/SS-OCTA images of the patient are clear.

Exclusion Criteria

• The image quality is poor and difficult to analyze due to reasons such as refractive media opacity and poor coordination.

• Minimum Eligible Age: 20 Years
• Maximum Eligible Age: 90 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

Beijing Hospital

OTHER_GOV

Sponsor Role: lead

Responsible Party

Responsibility Role: SPONSOR

Other Identifiers

BJ-2025-092

Identifier Type: -

Identifier Source: org_study_id