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Recruiting
NCT05622565
Explainable Ocular Fundus Diseases Report Generation System
Conditions: Ophthalmological Disorder, Image, Body
Sex: All
Healthy volunteers: 1
Enrollment: 15000
Sponsor: Sun Yat-sen University
Location: China
Summary
To establish a deep learning system of various ocular fundus disease analytics based on the results of multimodal examination images.
The system can analyze multimodal ocular fundus images, make diagnoses and generate corresponding reports.
Eligibility Criteria
Inclusion Criteria:The quality of multimodal ocular fundus disease examination images and corresponding reports should be clinically acceptable.Exclusion Criteria:Reports with key information missing.Images with severe image resolution reductions, blur or artifacts were excluded from further analysis.
Source: ClinicalTrials.gov (NCT05622565). StuddyBuddy aggregates publicly available trial information.