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Study identifier: NCT07447973 Synced from ClinicalTrials.gov · July 29, 2026
● Recruiting

Multimodal Deep Learning Model for Multi-task Diagnosis and Triage Suggestions of Ophthalmic Diseases

Condition: Anterior Segment Diseases  ·  Sponsor: Guangdong Provincial People's Hospital

PhaseN/A
Planned participants2000
Who can joinAll sexes, 18 Years to no upper limit
Healthy volunteersYes

About this study

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.

This description comes directly from the study's public registry record.

Talk to the study team

Honghua Yu  ·  +8618688888422  ·  yuhonghua@gdph.org.cn

Always discuss trial participation with your own doctor first.

Locations (1)

Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical UniversityGuangzhou, Guangdong, ChinaRecruiting

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Source record: clinicaltrials.gov/study/NCT07447973