Testing the Easy-EyeFM AI platform for eye disease diagnosis
Official title: Usability User Testing of the Easy-EyeFM AI Platform
Run by Tsinghua University · NCT06834906 · Data updated 2026-11-12
This study is testing a new AI tool for eye doctors to see if it helps them diagnose eye diseases better and is easy to use.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 18 Years to 80 Years |
| Sex | All |
| Enrollment | 84 (estimated) |
| Sponsor | Tsinghua University Academic / other |
| Locations | 1 site (Beijing) |
| Status | Recruiting |
| Started | January 26, 2025 |
| Main results expected | September 2025 |
| Study ends | September 2025 |
| Registry record updated | August 15, 2025 |
| Trial ID | NCT06834906 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are medical students or doctors with sufficient time and computer skills to participate in the assessment.
✕Probably not a fit
Patients who have poor computer skills or language expression 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 project evaluates the usability of the Easy-EyeFM AI platform, which is designed for ophthalmologists to provide diagnostic and treatment recommendations. Participants, including medical students and doctors, will test the platform's user-friendliness and effectiveness in customizing diagnostic models and analyzing medical images. Feedback will be gathered through questionnaires after participants complete tasks using the Easy-EyeFM platform and a comparison with an existing commercial platform. The study aims to enhance the platform's design based on user experiences.
Why it matters
Potential benefit: If successful, this platform could improve diagnostic accuracy and efficiency for ophthalmologists treating ocular diseases.
How similar studies have gone: While the specific approach of this study is novel, similar usability testing of AI platforms in healthcare has shown promise in enhancing user experience and effectiveness.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Medical students or doctors * Have enough time to participate in this program, about 1 hour continuous assessment * Agree to sign the informed consent form Exclusion Criteria: * Poor computer and mobile phone use and reading ability * Poor language expression or dialect category is not included in the speech recognition function of the platform
Where it's running
-
Tsinghua University
Beijing, China Recruiting
Study contacts
- Principal investigator: Tien Yin Wong — Tsinghua University
- Study coordinator: Jinyuan Wang
- Email: jinyuanwang@tsinghua.edu.cn
- Phone: 086-15801191316
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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.