Trials / Completed
CompletedNCT04907981
Eye Detection to Identify Novel Coronavirus Infection
Risk Screening Based on Feature Recognition and Detection of Eye Surface Images of COVID-2019 Patients and Statistical Analysis of High-dimensional Data
- Status
- Completed
- Phase
- —
- Study type
- Observational
- Enrollment
- 232 (actual)
- Sponsor
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology · Academic / Other
- Sex
- All
- Age
- 75 Years
- Healthy volunteers
- Accepted
Summary
The eye characteristics of patients with COVID-19 and those without the disease were analyzed, and whether they had the disease or not was judged according to the eye characteristics.
Detailed description
To test the accuracy of a non-invasive eye monitoring that can be widely used for screening in judging patients with novel coronavirus infection.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| DIAGNOSTIC_TEST | Novel coronavirus infection | Using eye examination to judge whether novel coronavirus is infected or not. |
Timeline
- Start date
- 2021-01-22
- Primary completion
- 2021-04-26
- Completion
- 2021-04-26
- First posted
- 2021-06-01
- Last updated
- 2021-06-14
Locations
1 site across 1 country: China
Source: ClinicalTrials.gov record NCT04907981. Inclusion in this directory is not an endorsement.