Ocular DiseasesNCT06834906
Usability User Testing of the Easy-EyeFM AI Platform
A study testing EasyEyeFM-AutoML-AI-platform test and AutoML-EasyEyeFM-AI-platform test in people with Ocular Diseases, run by Tsinghua University at 1 site in China.
Trial summary
Easy-EyeFM is a code-free artificial intelligence platform designed for ophthalmologists to provide diagnostic and treatment recommendations and help doctors develop customized diagnostic models. This project aims to evaluate the usability and user-friendliness of the Easy-EyeFM platform for physicians. Read more about this study
- Who is it for?
- Ages 18 to 80 years
- Conditions the study is for
- Ocular Diseases
- What is being tested?
- EasyEyeFM-AutoML-AI-platform test and AutoML-EasyEyeFM-AI-platform test
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 84 participants
- Where
- 1 siteChina
- Study dates
- 26 Jan 2025to Sep 2025
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 80 years
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- Medical students or doctors
- Have enough time to participate in this program, about 1 hour continuous assessment
- Agree to sign the informed consent form
Who cannot join
- 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
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
Hongqiu Wang contact
About this study
Easy-EyeFM is a code-free artificial intelligence platform designed for ophthalmologists to provide diagnostic and treatment recommendations and help doctors develop customized diagnostic models.
This project aims to evaluate the usability and user-friendliness of the Easy-EyeFM platform for physicians. The study will gather feedback from medical professionals to evaluate the intuitiveness and effectiveness of the platform in supporting model customization and medical image analysis tasks.
Subjects will participate in the trial of the Easy-EyeFM platform and the comparison with the existing commercial platform (AutoML) at the appointed time. The researchers will inform subjects of relevant precautions and assist them to read the user manual before the test. Subjects will complete model customization and picture diagnosis within the prescribed test time, and according to the test results, Score the human-computer interaction experience of the AI platform, fill in the questionnaire, and finally complete the evaluation content.
- Conditions
- Ocular Diseases
- Being tested
- EasyEyeFM-AutoML-AI-platform test, AutoML-EasyEyeFM-AI-platform test
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
EasyEyeFM-AutoML-AI-platform testDiagnostic test
AI platforms using
AutoML-EasyEyeFM-AI-platform testDiagnostic test
AI-platform using
| Study group | Role | What they receive |
|---|---|---|
| group A | Experimental | Not described Receives: Diagnostic Test: EasyEyeFM-AutoML-AI-platform test |
| group B | Experimental | Not described Receives: Diagnostic Test: AutoML-EasyEyeFM-AI-platform test |
What is being measured
The primary outcome is the main question the study is designed to answer.
System Usability Scale
Minimum Value: 0 Maximum Value: 100 Higher scores indicate a better outcome, meaning higher system usability.
Measured: 1 day
Secondary outcomes (2)
Usage Time
Measured: 1 day
Users Assistance Requests Times
Measured: 1 day
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted19 Feb 2025
- Study start26 Jan 2025
- Primary completionSep 2025 (estimated)
- Study completionSep 2025 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Ocular DiseasesStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Crossover
- Masking
- None (open label)
- Enrolment
- 84 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Tsinghua University
- Sponsor type
- University, hospital or other
- Collaborators
- First Hospital of Tsinghua University, Beijing Tsinghua Changgeng Hospital, Augenarzt-Praxisgemeinschaft Gutblick AG, Sankara Nethralaya, Department of Medical Services Ministry of Public Health of Thailand, Moorfields Eye Hospital NHS Foundation Trust, Pomeranian Hospitals, Shanghai Health and Medical Center, Hong Kong Eye Hospital, Royal Victoria Eye and Ear Hospital, Hanyang University Guri Hospital, Al-Shifa Trust Eye Hospital, Korle-Bu Teaching Hospital, Accra, Ghana, Nippon Medical School Tama Nagayama Hospital
- Responsible party
- Principal investigator, Tien Yin Wong, Tsinghua University
- Investigators
- Tien Yin Wong, Principal investigator, Tsinghua University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06834906
- Sponsor's protocol ID
- Easy-EyeFM
- Status last verified
- Jan 2025
- First submitted
- 9 Feb 2025
- Last updated
- 15 Aug 2025
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Study at a glance
From the registry record, last updated by the sponsor on 15 Aug 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Usability User Testing of the Easy-EyeFM AI Platform
- ClinicalTrials.gov ID
- NCT06834906
- Acronym / sponsor ID
- Easy-EyeFM
- Conditions
- Ocular Diseases
- Study type
- Interventional
- Recruitment status
- Recruiting
- Enrolment
- 84 participants (estimated)
- Lead sponsor
- Tsinghua UniversityUniversity, hospital or other
- Collaborators
- First Hospital of Tsinghua University, Beijing Tsinghua Changgeng Hospital, Augenarzt-Praxisgemeinschaft Gutblick AG, Sankara Nethralaya, Department of Medical Services Ministry of Public Health of Thailand, Moorfields Eye Hospital NHS Foundation Trust, Pomeranian Hospitals, Shanghai Health and Medical Center, Hong Kong Eye Hospital, Royal Victoria Eye and Ear Hospital, Hanyang University Guri Hospital, Al-Shifa Trust Eye Hospital, Korle-Bu Teaching Hospital, Accra, Ghana, Nippon Medical School Tama Nagayama Hospital
- Study start
- 26 Jan 2025 (actual)
- Primary completion
- Sep 2025 (estimated)
- Study completion
- Sep 2025 (estimated)
- First posted
- 19 Feb 2025 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Easy-EyeFM is a code-free artificial intelligence platform designed for ophthalmologists to provide diagnostic and treatment recommendations and help doctors develop customized diagnostic models.
This project aims to evaluate the usability and user-friendliness of the Easy-EyeFM platform for physicians. The study will gather feedback from medical professionals to evaluate the intuitiveness and effectiveness of the platform in supporting model customization and medical image analysis tasks.
Subjects will participate in the trial of the Easy-EyeFM platform and the comparison with the existing commercial platform (AutoML) at the appointed time. The researchers will inform subjects of relevant precautions and assist them to read the user manual before the test. Subjects will complete model customization and picture diagnosis within the prescribed test time, and according to the test results, Score the human-computer interaction experience of the AI platform, fill in the questionnaire, and finally complete the evaluation content.
Study design
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Crossover
- Masking
- None (open label)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| group A | Experimental | Diagnostic Test: EasyEyeFM-AutoML-AI-platform test |
| group B | Experimental | Diagnostic Test: AutoML-EasyEyeFM-AI-platform test |
Who may qualify
- Ages
- 18 to 80 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (3 listed)
- Medical students or doctors
- Have enough time to participate in this program, about 1 hour continuous assessment
- Agree to sign the informed consent form
Key exclusion criteria (2 listed)
- 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
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| EasyEyeFM-AutoML-AI-platform testAI platforms using | Diagnostic test | group A |
| AutoML-EasyEyeFM-AI-platform testAI-platform using | Diagnostic test | group B |
Primary outcome
System Usability Scale
Time frame: 1 day
Minimum Value: 0 Maximum Value: 100 Higher scores indicate a better outcome, meaning higher system usability.
2 secondary outcomes
Usage Time
Time frame: 1 day
Users Assistance Requests Times
Time frame: 1 day
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 15 Aug 2025.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Hongqiu Wang contact
Tien Yin Wong principal investigator
Tsinghua University
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing EasyEyeFM-AutoML-AI-platform test and AutoML-EasyEyeFM-AI-platform test in people with Ocular Diseases, run by Tsinghua University at 1 site in China.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 3 inclusion and 2 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: looking for participants now, as of the sponsor's last update on 15 Aug 2025. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in China. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Jinyuan Wang (086-15801191316, jinyuanwang@tsinghua.edu.cn), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
System Usability Scale (time frame: 1 day). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 15 Aug 2025.