Validation of an Artificial Intelligence System for Postoperative Management of Cataract Patients
Not Applicable
- Conditions
- CataractPostoperative ComplicationsArtificial Intelligence
- Interventions
- Device: An artificial intelligence system for postoperative management of cataract patients
- Registration Number
- NCT04138771
- Lead Sponsor
- Sun Yat-sen University
- Brief Summary
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.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- UNKNOWN
- Sex
- All
- Target Recruitment
- 300
Inclusion Criteria
- 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.
Exclusion Criteria
Not provided
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- SINGLE_GROUP
- Arm && Interventions
Group Intervention Description Eligible patients for AI test An artificial intelligence system for postoperative management of cataract patients 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.
- Primary Outcome Measures
Name Time Method The proportion of accurate, mistaken and miss detection of this artificial intelligence diagnostic system. Up to 7 years
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
Zhongshan Ophthalmic Center, Sun Yat-sen University
🇨🇳Guangzhou, Guangdong, China