Multi-modal Intelligent Diagnosis System for Multiple Ophthalmic Diseases

N/ANot Yet RecruitingNCT07143851

Beijing Hospital5,000 enrolled

Overview

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.

Study Type

OBSERVATIONAL

Enrollment

5,000

Conditions

Retina Disease Glaucoma

Interventions

Not applicable- observational studyOTHER

There is no special intervention method

Eligibility

Sex: ALLMin age: 20 YearsMax age: 90 Years

Medical Language ↔ Plain English

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.

Outcomes

Primary Outcomes

CMT

Central macular thickness measured on OCT

Time frame: Baseline

Secondary Outcomes

SS-OCT/OCTA images

Multimodal features based on patients' iamges

Time frame: Baseline

Data from ClinicalTrials.gov

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