NCT07447973 Multimodal Deep Learning Model for Multi-task Diagnosis and Triage Suggestions of Ophthalmic Diseases
| NCT ID | NCT07447973 |
| Status | Recruiting |
| Phase | — |
| Sponsor | Guangdong Provincial People's Hospital |
| Condition | Anterior Segment Diseases |
| Study Type | OBSERVATIONAL |
| Enrollment | 2,000 participants |
| Start Date | 2025-07-28 |
| Primary Completion | 2027-11-20 |
Trial Parameters
Eligibility Fast-Check
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Brief Summary
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.
Eligibility Criteria
Inclusion Criteria: 1. Informed consent obtained; 2. Participants should be sufficiently able to read, write, and understand Chinese or English; 3. For normal participants: individuals should have no concerns related to their eyes. 4. For participants with eye-related chief complaints: individuals should have specific concerns or issues related to their eyes. Exclusion Criteria: 1. Incomplete clinical data to support final diagnosis; 2. Patients who, in the opinion of the attending physician or clinical study staff, are too medically unstable to participate in the study safely.