Validation of an Artificial Intelligence System for Postoperative Management of Cataract Patients
Study Details
Study Description
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.
Condition or Disease | Intervention/Treatment | Phase |
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N/A |
Study Design
Arms and Interventions
Arm | Intervention/Treatment |
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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.
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Outcome Measures
Primary Outcome Measures
- The proportion of accurate, mistaken and miss detection of this artificial intelligence diagnostic system. [Up to 7 years]
Eligibility Criteria
Criteria
Inclusion Criteria:
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Patients who had surgery of cataract extraction combined with introcular lens implantation.
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Patients should be aware of the contents and signed for the informed consent.
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
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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
Investigators
None specified.Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- CCPMOH2019-China-5