Actively Recruiting
Usability User Testing of the Easy-EyeFM AI Platform for Ocular Diseases
Led by Tsinghua University · Updated on 2025-08-15
84
Participants Needed
1
Research Sites
N/A
Total Duration
On this page
Sponsors
T
Tsinghua University
Lead Sponsor
F
First Hospital of Tsinghua University
Collaborating Sponsor
AI-Summary
What this Trial Is About
This research evaluates the usability and user-friendliness of the Easy-EyeFM artificial intelligence platform designed for ophthalmologists. The platform aims to assist doctors by providing diagnostic and treatment recommendations and helping them customize diagnostic models. The study involves medical professionals who will compare Easy-EyeFM with an existing commercial AI platform called AutoML to assess its effectiveness and ease of use. Participants will take part in testing both AI platforms, completing tasks such as model customization and medical image diagnosis within a set time. Before testing, researchers will inform participants about important precautions and guide them through the user manual. After using the platforms, participants will score their experience with the human-computer interaction and complete questionnaires to provide detailed feedback. During the study, researchers will measure the system usability using the System Usability Scale, track the time spent using the platforms, and record how often users request assistance. The total participation time for each subject is approximately one hour. This evaluation aims to gather comprehensive feedback to inform improvements in AI support tools for eye disease diagnosis.
CONDITIONS
Brief Title
Usability User Testing of the Easy-EyeFM AI Platform
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Medical students or doctors
- Between 18 and 80 years old
- Have enough time to participate in about 1 hour of continuous assessment
- Agree to sign the informed consent form
You will not qualify if you...
- Poor computer and mobile phone use and reading ability
- Poor language expression or dialect not supported by the platform's speech recognition function
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Your Study Journey
Duration - 2 to 4 weeks
Participants are screened for eligibility to participate in the trial.
1 visit (in-person)
Duration - 1 day
Participants test two AI platforms designed for ocular disease diagnosis.
1 visit (in-person)
Trial Site Locations
Total: 1 location
1
Tsinghua University
Beijing, China
Actively Recruiting
Research Team
J
Jinyuan Wang
H
Hongqiu Wang
How is the study designed?
Study Type
INTERVENTIONAL
Masking
NONE
Allocation
RANDOMIZED
Model
CROSSOVER
Primary Purpose
OTHER
Number of Arms
2
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