Multimodal Deep Learning Model for Multi-task Diagnosis and Triage Suggestions of Ophthalmic Diseases
Recruiting now
Conditions studied: Anterior Segment Diseases
In brief
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.
Key facts
- Study ID
- NCT07447973
- Run by
- Guangdong Provincial People's Hospital
- People needed
- 2000
- Starts
- 2026-03-10
- Expected to finish
- 2027-12-31
- Last updated by the study team
- 2026-07-07
Who can join
Age: 18 and older. Sex: any. Healthy volunteers: accepted.
You may qualify if…
- Informed consent obtained;
- Participants should be sufficiently able to read, write, and understand Chinese or English;
- For normal participants: individuals should have no concerns related to their eyes.
- For participants with eye-related chief complaints: individuals should have specific concerns or issues related to their eyes.
You may not qualify if…
- Incomplete clinical data to support final diagnosis;
- Patients who, in the opinion of the attending physician or clinical study staff, are too medically unstable to participate in the study safely.
Where it is running
- Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University — Guangzhou, Guangdong, China (enrolling)
Full record on ClinicalTrials.gov
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