AI-assisted decision-making for ocular diseases
Official title: A Study on Ophthalmic Multimodal AI-Assisted Medical Decision-Making Based on Imaging and Electronic Medical Record Data
Run by The Eye Hospital of Wenzhou Medical University · NCT06755190 · Data updated 2026-11-12
This study is testing if an AI tool can help eye doctors make better decisions and improve treatment for patients with eye diseases by using different types of health data.
Quick facts
| Study type | Observational |
|---|---|
| Sex | All |
| Enrollment | 5000000 (estimated) |
| Sponsor | The Eye Hospital of Wenzhou Medical University Academic / other |
| Locations | 5 sites (Zhuhai, Guangdong and 4 other locations) |
| Status | Recruiting |
| Started | December 20, 2024 |
| Main results expected | May 2025 |
| Study ends | May 2025 |
| Registry record updated | April 17, 2025 |
| Trial ID | NCT06755190 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates include patients with confirmed diagnoses of ocular diseases who have received treatment at participating hospitals and have comprehensive electronic health records.
✕Probably not a fit
Patients without a confirmed diagnosis of ocular diseases or those lacking sufficient follow-up records may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study evaluates the effectiveness of an AI-assisted medical decision support system in ophthalmology by integrating multimodal data from various sources, including imaging and electronic health records. The aim is to enhance diagnostic accuracy and streamline clinical workflows for ocular diseases. By leveraging deep learning techniques, the study seeks to provide personalized treatment options and improve patient outcomes. The research involves multiple centers and focuses on patients with confirmed ocular diseases who have comprehensive health records.
Why it matters
Potential benefit: If successful, this approach could significantly improve the early detection and treatment of ocular diseases, leading to better vision outcomes for patients.
How similar studies have gone: Other studies utilizing AI in medical decision-making have shown promising results, indicating potential success for this approach.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: 1.All patients who have received treatment at multiple centers, including The Eye Hospital of Wenzhou Medical University, First Affiliated Hospital of Wenzhou Medical University, Second Affiliated Hospital of Wenzhou Medical University, ZhuHai Hospital, and Macau University of Science and Technology Hospital. 2.Availability of comprehensive electronic health records (EHR), including: Ophthalmic images (e.g., fundus photography, OCT, or slit-lamp images). Electronic medical records (e.g., diagnosis, treatment, and follow-up notes). Examination results (e.g., visual acuity, intraocular pressure, or laboratory tests). 3.Patients with a clear and confirmed diagnosis of one or more ocular diseases. 4.Patients with sufficient follow-up records to allow assessment of disease progression or prognosis, if applicable. 1. All ophthalmology patients who have previously received treatment at the Department of Ophthalmology, the Eye Hospital of Wenzhou Medical University, First Affiliated Hospital of Wenzhou Medical University, Second Affiliated Hospital of Wenzhou Medical University, Zhuhai People's Hospital, and the University Hospital. 2. Availability of comprehensive electronic health records (EHR), including: Ophthalmic images (e.g., fundus photography, OCT, or slit-lamp images). Electronic medical records (e.g., diagnosis, treatment, and follow-up notes). Examination results (e.g., visual acuity, intraocular pressure, or laboratory tests). 3. Patients with a clear and confirmed diagnosis of one or more ocular diseases. 4. Patients with sufficient follow-up records to allow assessment of disease progression or prognosis, if applicable. Exclusion Criteria: 1. Incomplete or missing critical EHR components. 2. Cases with ambiguous or unverified diagnoses that cannot be clearly categorized. 3. Duplicated or redundant data from the same patient.
Where it's running
-
ZhuHai Hospital, zhuhai, guangdong
Zhuhai, Guangdong, China Recruiting -
First Affiliated Hospital of Wenzhou Medical University
Wenzhou, Zhejiang, China Recruiting -
Second Affiliated Hospital of Wenzhou Medical Universit
Wenzhou, Zhejiang, China Recruiting -
The Eye Hospital of Wenzhou Medical University
Wenzhou, Zhejiang, China Recruiting -
Macau University of Science and Technology Hospital
Macao, Macau, Macau Recruiting
Study contacts
- Principal investigator: Kang Zhang, PhD. — The Eye Hospital of Wenzhou Medical University
- Study coordinator: Lan Wang, MD
- Email: wl2832300533@163.com
- Phone: +86-0577-85397527
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.