Multi-modal Intelligent Diagnosis System for Multiple Ophthalmic Diseases
Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age20-90
SponsorBeijing Hospital
About this trial
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.
Eligibility criteria
Qualifiers
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.
Disqualifiers
The image quality is poor and difficult to analyze due to reasons such as refractive media opacity and poor coordination.
Trial design
Treatments tested in this trial
- Not applicable- observational study
Treatment groups
No treatment groups listed
Locations
Sponsors and collaborators
Source ClinicalTrials.gov