Validation of an Artificial Intelligence System for Postoperative Management of Cataract Patients
Cataract surgery is the current standard of management for cataract patients, which is typically succeeded by a postoperative follow-up schedule. Here, the investigators established and validated an artificial intelligence system to achieve automatic management of postoperative patients based on analyses of visual acuity, intraocular pressure and slit-lamp images. The management strategy can also change according to postoperative time.
Arms and Interventions
|Experimental: Eligible patients for AI test|
Device: an artificial intelligence system for postoperative management of cataract patients. These patients are enrolled in primary healthcare units and the AI clinic at Zhongshan Ophthalmic Center.
Device: An artificial intelligence system for postoperative management of cataract patients
This system can detect multiple postoperative complications of cataract patients and then provide a management strategy.
Primary Outcome Measures
- The proportion of accurate, mistaken and miss detection of this artificial intelligence diagnostic system. [Up to 7 years]
Patients who had surgery of cataract extraction combined with introcular lens implantation.
Patients should be aware of the contents and signed for the informed consent.
Contacts and Locations
|1||Zhongshan Ophthalmic Center, Sun Yat-sen University||Guangzhou||Guangdong||China||510060|
Sponsors and Collaborators
- Sun Yat-sen University
- Ministry of Health, China
- Xidian University
Study Documents (Full-Text)None provided.