Status:
UNKNOWN
Real-time Artificial Intelligence System for Detecting Multiple Ocular Fundus Lesions by Ultra-widefield Fundus Imaging
Lead Sponsor:
Sun Yat-sen University
Collaborating Sponsors:
Shenzhen Eye Hospital
Xudong Ophthalmic Hospital
Conditions:
Artificial Intelligence
Diagnostic Imaging
Eligibility:
All Genders
Brief Summary
This prospective multicenter study will evaluate the efficacy of a real-time artificial intelligence system for detecting multiple ocular fundus lesions by ultra-widefield fundus imaging in real-world...
Detailed Description
The ocular fundus can show signs of both ocular diseases (e.g., lattice degeneration, retinal detachment and glaucoma) and systemic diseases (e.g., hypertension, diabetes and leukemia). The routine fu...
Eligibility Criteria
Inclusion
- All the participants who agree to take ultra-widefield fundus images.
Exclusion
- Patients who cannot cooperate with a photographer such as some paralytics, the patients with dementia and severe psychopaths.
- Patients who do not agree to sign informed consent.
Key Trial Info
Start Date :
November 1 2020
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
December 25 2022
Estimated Enrollment :
2000 Patients enrolled
Trial Details
Trial ID
NCT04859634
Start Date
November 1 2020
End Date
December 25 2022
Last Update
April 26 2021
Active Locations (1)
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1
Zhongshan Ophthalmic Center, Sun Yat-sen University
Guangzhou, Guangdong, China, 510060