Status:
UNKNOWN
Artificial Intelligence System for Assessing Image Quality of Slit-Lamp Images and Its Effects on Diagnosis
Lead Sponsor:
Sun Yat-sen University
Conditions:
Anterior Segment Disorders
Artificial Intelligence
Eligibility:
All Genders
Brief Summary
Slit-lamp images are widely used in ophthalmology for the detection of cataract, keratopathy and other anterior segment disorders. In real-world practice, the quality of slit-lamp images can be unacce...
Eligibility Criteria
Inclusion
- Patients should be aware of the contents and signed for the informed consent.
Exclusion
- 1\. Patients who cannot cooperate with a photographer such as some paralytics, the patients with dementia and severe psychopaths.
- 2\. Patients who do not agree to sign informed consent.
Key Trial Info
Start Date :
February 1 2020
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
July 1 2020
Estimated Enrollment :
300 Patients enrolled
Trial Details
Trial ID
NCT04314180
Start Date
February 1 2020
End Date
July 1 2020
Last Update
March 19 2020
Active Locations (1)
Enter a location and click search to find clinical trials sorted by distance.
1
Zhongshan Ophthalmic Center, Sun Yat-sen University
Guangzhou, Guangdong, China, 510060