Usability User Testing of the Easy-EyeFM AI Platform

NCT ID: NCT06834906

Last Updated: 2025-08-15

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Clinical Phase

NA

Total Enrollment

84 participants

Study Classification

INTERVENTIONAL

Study Start Date

2025-01-26

Study Completion Date

2025-09-30

Brief Summary

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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.

Detailed Description

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Conditions

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Ocular Diseases

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

CROSSOVER

Primary Study Purpose

OTHER

Blinding Strategy

NONE

Study Groups

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group A

Group Type EXPERIMENTAL

EasyEyeFM-AutoML-AI-platform test

Intervention Type DIAGNOSTIC_TEST

AI platforms using

group B

Group Type EXPERIMENTAL

AutoML-EasyEyeFM-AI-platform test

Intervention Type DIAGNOSTIC_TEST

AI-platform using

Interventions

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EasyEyeFM-AutoML-AI-platform test

AI platforms using

Intervention Type DIAGNOSTIC_TEST

AutoML-EasyEyeFM-AI-platform test

AI-platform using

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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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
Minimum Eligible Age

18 Years

Maximum Eligible Age

80 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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First Hospital of Tsinghua University

OTHER

Sponsor Role collaborator

Beijing Tsinghua Changgeng Hospital

OTHER

Sponsor Role collaborator

Augenarzt-Praxisgemeinschaft Gutblick AG

UNKNOWN

Sponsor Role collaborator

Sankara Nethralaya

OTHER

Sponsor Role collaborator

Department of Medical Services Ministry of Public Health of Thailand

OTHER_GOV

Sponsor Role collaborator

Moorfields Eye Hospital NHS Foundation Trust

OTHER

Sponsor Role collaborator

Pomeranian Hospitals

UNKNOWN

Sponsor Role collaborator

Shanghai Health and Medical Center

UNKNOWN

Sponsor Role collaborator

Hong Kong Eye Hospital

OTHER

Sponsor Role collaborator

Royal Victoria Eye and Ear Hospital

OTHER_GOV

Sponsor Role collaborator

Hanyang University Guri Hospitall

UNKNOWN

Sponsor Role collaborator

Alshifa Trust Eye Hospital

UNKNOWN

Sponsor Role collaborator

Korle-Bu Teaching Hospital, Accra, Ghana

OTHER

Sponsor Role collaborator

Nippon Medical School Tama Nagayama Hospital

UNKNOWN

Sponsor Role collaborator

Tsinghua University

OTHER

Sponsor Role lead

Responsible Party

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Tien Yin Wong

Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Tien Yin Wong

Role: PRINCIPAL_INVESTIGATOR

Tsinghua University

Locations

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Tsinghua University

Beijing, , China

Site Status RECRUITING

Countries

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China

Central Contacts

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Jinyuan Wang

Role: CONTACT

086-15801191316

Hongqiu Wang

Role: CONTACT

Other Identifiers

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Easy-EyeFM

Identifier Type: -

Identifier Source: org_study_id

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