Trials / Completed
CompletedNCT03499145
Validation of the Utility of Ophthalmology Intelligent Diagnostic System
Validation of the Utility of Ophthalmology Intelligent Diagnostic System: A Clinical Trial
- Status
- Completed
- Phase
- —
- Study type
- Observational
- Enrollment
- 615 (actual)
- Sponsor
- Sun Yat-sen University · Academic / Other
- Sex
- All
- Age
- —
- Healthy volunteers
- Accepted
Summary
The prevention and treatment of diseases via artificial intelligence represents an ultimate goal in computational medicine. Application scenarios of the current medical algorithms are too simple to be generally applied to real-world complex clinical settings. Here, the investigators use "deep learning" and "visionome technique", an novel annotation method for artificial intelligence in medical, to create an automatic detection and classification system for four key clinical scenarios: 1) mass screening, 2) comprehensive clinical triage, 3) hyperfine diagnostic assessment, and 4) multi-path treatment planning. The investigator also establish a telemedicine system and conduct clinical trial and website-based study to validate its versatility.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| DEVICE | Ophthalmology diagnostic system. | An artificial intelligence to make comprehensive evaluation and treatment decision of ocular diseases. |
Timeline
- Start date
- 2018-04-01
- Primary completion
- 2019-08-31
- Completion
- 2019-08-31
- First posted
- 2018-04-17
- Last updated
- 2019-10-21
Locations
1 site across 1 country: China
Source: ClinicalTrials.gov record NCT03499145. Inclusion in this directory is not an endorsement.