Multi-modal Intelligent Diagnosis System for Multiple Ophthalmic Diseases

Beijing Hospital

Status: Not yet enrolling

Conditions: Retina Disease; Glaucoma

Treatments: Other: Not applicable- observational study

Study type: Observational

Funder types: Other

Identifiers

NCT07143851

BJ-2025-092

Details and patient eligibility

About

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.

Enrollment: 5,000 estimated patients

Sex: All

Ages: 20 to 90 years old

Volunteers: No Healthy Volunteers

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.