Testing the Easy-EyeFM AI platform for eye disease diagnosis
Usability User Testing of the Easy-EyeFM AI Platform
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
| Phase | Not applicable |
|---|---|
| Study type | Interventional |
| Enrollment | 84 (estimated) |
| Ages | 18 Years to 80 Years |
| Sex | All |
| Sponsor | Tsinghua University Academic / other |
| Locations | 1 site (Beijing) |
| Trial ID | NCT06834906 on ClinicalTrials.gov |
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.
Who should consider this trial
Good fit: Ideal candidates for this study are medical students or doctors with sufficient time and computer skills to participate in the assessment.
Not a fit: Patients who have poor computer skills or language expression may not benefit from this study.
Why it matters
Potential benefit: If successful, this platform could improve diagnostic accuracy and efficiency for ophthalmologists treating ocular diseases.
How similar studies have performed: 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.
Eligibility criteria
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 this trial is running
Beijing
- 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
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.