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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Normal participants | Healthy individuals who have no concerns related to their eyes. |
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| Patients with Eye-related Chief Complaints | Individuals who have specific concerns or issues related to their eyes, which they consider as the main reason for seeking medical attention or making a complaint. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Multimodal Vision-language Model Diagnosis | Diagnostic Test | Multimodal Vision-language Model for Multi-task Diagnosis and Triage Suggestions of Ophthalmic Diseases Patients presenting with complaints of anterior segment diseases first complete a slit-lamp examination or take a mobile phone eye photograph. A multimodal vision-language model uses patient-related images (such as selfies and eye exam photos) to make an intelligent diagnosis. The diagnosis is kept private. The patient then seeks medical attention and undergoes a clinical examination by an experienced clinician. A second experienced clinician then reviews the clinical diagnosis. If the diagnosis agrees, it is considered the gold standard. If there is a discrepancy in the diagnosis, the consensus between the two clinicians is used as the gold standard. |
| Measure | Description | Time Frame |
|---|---|---|
| Diagnostic accuracy of multimodal vision-language model. | For each patient, the diagnoses generated by the multimodal vision-language model and the clinical diagnosis provided by skilled clinicians were documented and compared. Consistency between the two diagnoses indicates the program's precision in clinical practice. | from July 2025 to September 2025 |
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Inclusion Criteria:
Exclusion Criteria:
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Individuals who have or do not have concerns related to their eyes.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Honghua Yu | Contact | +8618688888422 | yuhonghua@gdph.org.cn |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University | Recruiting | Guangzhou | Guangdong | 510280 | China |
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