Trials / Unknown
UnknownNCT04314180
Artificial Intelligence System for Assessing Image Quality of Slit-Lamp Images and Its Effects on Diagnosis
Artificial Intelligence System for Assessing Image Quality of Slit-Lamp Images and Its Effects on Diagnosis: A Clinical Trial
- Status
- Unknown
- Phase
- —
- Study type
- Observational
- Enrollment
- 300 (estimated)
- Sponsor
- Sun Yat-sen University · Academic / Other
- Sex
- All
- Age
- —
- Healthy volunteers
- Accepted
Summary
Slit-lamp images are widely used in ophthalmology for the detection of cataract, keratopathy and other anterior segment disorders. In real-world practice, the quality of slit-lamp images can be unacceptable, which can undermine diagnostic accuracy and efficiency. Here, the researchers established and validated an artificial intelligence system to achieve automatic quality assessment of slit-lamp images upon capture. This system can also provide guidance to photographers according to the reasons for low quality.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| DEVICE | Taking slit-lamp images | The participant only needs to take several slit-lamp images as usual. |
Timeline
- Start date
- 2020-02-01
- Primary completion
- 2020-07-01
- Completion
- 2020-07-01
- First posted
- 2020-03-19
- Last updated
- 2020-03-19
Locations
1 site across 1 country: China
Source: ClinicalTrials.gov record NCT04314180. Inclusion in this directory is not an endorsement.