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
This trial does not accept healthy volunteersQualifiers
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 population
Patients diagnosed as macular degeneration, diabetic macular edema, retinal vein obstructive macular edema, high myopia, glaucoma or other clearly diagnosed ophthalmic diseases.
Trial design
Design model
Other
Time perspective
Cross-sectional
Treatments tested in this trial
Not applicable- observational study
Other interventionThere is no special intervention method
Treatment groups
No treatment groups listed
Trial outcomes
Primary outcomes
1
CMT
Central macular thickness measured on OCT
Time frame
BaselineSecondary outcomes
1
SS-OCT/OCTA images
Multimodal features based on patients' iamges
Time frame
BaselineLocations
Sponsors and contacts
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Source ClinicalTrials.gov
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