Usability User Testing of the Easy-EyeFM AI Platform

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. 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

Interventions

DIAGNOSTIC_TEST

EasyEyeFM-AutoML-AI-platform test

AI platforms using

DIAGNOSTIC_TEST

AutoML-EasyEyeFM-AI-platform test

AI-platform using

Sponsors & Collaborators

• First Hospital of Tsinghua University

  collaborator OTHER

• Beijing Tsinghua Changgeng Hospital

  collaborator OTHER

• Augenarzt-Praxisgemeinschaft Gutblick AG

  collaborator UNKNOWN

• Sankara Nethralaya

  collaborator OTHER

• Department of Medical Services Ministry of Public Health of Thailand

  collaborator OTHER_GOV

• Moorfields Eye Hospital NHS Foundation Trust

  collaborator OTHER

• Pomeranian Hospitals

  collaborator UNKNOWN

• Shanghai Health and Medical Center

  collaborator UNKNOWN

• Hong Kong Eye Hospital

  collaborator OTHER

• Royal Victoria Eye and Ear Hospital

  collaborator OTHER_GOV

• Hanyang University Guri Hospitall

  collaborator UNKNOWN

• Alshifa Trust Eye Hospital

  collaborator UNKNOWN

• Korle-Bu Teaching Hospital, Accra, Ghana

  collaborator OTHER

• Nippon Medical School Tama Nagayama Hospital

  collaborator UNKNOWN

• Tsinghua University

  lead OTHER

Principal Investigators

• Tien Yin Wong · Tsinghua University

Study Design

Allocation

RANDOMIZED

Purpose

OTHER

Masking

NONE

Model

CROSSOVER

Eligibility

Min Age

18 Years

Max Age

80 Years

Sex

ALL

Healthy Volunteers

No

Timeline & Regulatory

Start

2025-01-26

Primary Completion

2025-09-30

Completion

2025-09-30

Countries

• China

Study Locations