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

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT04907981

Enrollment

232

Registered

2021-06-01

Start date

2021-01-22

Completion date

2021-04-26

Last updated

2021-06-14

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Covid19

Brief 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.

Interventions

DIAGNOSTIC_TESTNovel coronavirus infection

Using eye examination to judge whether novel coronavirus is infected or not.

Study design

Observational model

CASE_CONTROL

Time perspective

OTHER

Eligibility

Sex/Gender

ALL

Age

No minimum to 75 Years

Healthy volunteers

Yes

Inclusion criteria

1. All participants were provided with written informed consent at the time of recruitment； 2. Age ≥ 18 and ≤ 75 (informed consent signed by guardian under 18) 3. Meet the diagnostic criteria of novel coronavirus (2019-COVID-19) infection

Exclusion criteria

Does not meet any of the inclusion criteria

Design outcomes

Primary

Measure	Time frame	Description
Collection and analysis of eye characteristics of patients encoding criteria, annotation of ocular feature	1DAY	Ocular pathological features

Countries

China

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026