Status: Recruiting
Multimodal Deep Learning Model for Multi-task Diagnosis and Triage Suggestions of Ophthalmic Diseases
Accurate and comprehensive interpretation of anterior segment diseases from slit-lamp and smartphone photographs remains a clinical challenge due to the limited specificity and structure of existing Artificial Intelligence tools. The purpose of this international, multicenter clinical trial is to developed and validated an agent-based framework that integrates vision-language models and large language models to enhance the diagnostic workflow of anterior segment diseases.
Participants needed: 2,000
Trial details
Age: 18+Biological sex: AllType: ObservationalSponsor: Guangdong Provincial People's HospitalUpdated: Mar 5, 2026Locations: 1
Eligibility criteria
Informed consent obtained; [+3]
Incomplete clinical data to support final diagnosis; [+1]