Ocular Diseases
Conditions
Brief 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.
Interventions
DIAGNOSTIC_TESTEasyEyeFM-AutoML-AI-platform test
AI platforms using
DIAGNOSTIC_TESTAutoML-EasyEyeFM-AI-platform test
AI-platform using
Sponsors
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 Hospitall
Alshifa Trust Eye Hospital
Korle-Bu Teaching Hospital, Accra, Ghana
Nippon Medical School Tama Nagayama Hospital
Tsinghua University
Study design
Allocation
RANDOMIZED
Intervention model
CROSSOVER
Primary purpose
OTHER
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
18 Years to 80 Years
Healthy volunteers
No
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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| System Usability Scale | 1 day | Minimum Value: 0 Maximum Value: 100 Higher scores indicate a better outcome, meaning higher system usability. |
Secondary
| Measure | Time frame |
|---|---|
| Usage Time | 1 day |
| Users Assistance Requests Times | 1 day |
Countries
China
Contacts
Primary ContactJinyuan Wang
Backup ContactHongqiu Wang
Outcome results
None listed