COVID Triage AI Algorithm Using CT Images
Not Applicable
Recruiting
- Conditions
- COVID-19,SARS-CoV-2
- Registration Number
- JPRN-jRCT1050210089
- Lead Sponsor
- Okada Naoki
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Recruiting
- Sex
- All
- Target Recruitment
- 3000
Inclusion Criteria
Three groups of patients will be included in the study: patients with COVID and patients with pneumonia due to other infectious diseases who visited the Emergency Department or were admitted to the Emergency Department of the Osaka General Medical Center, and patients who had a chest CT scan as a screening (e.g., trauma patients with a normal chest CT image as a result). Patients at other participating centers will be selected according to the above criteria.
Exclusion Criteria
(1) Patients who have refused to use the information after reading the information disclosure document
(2) Patients for whom the scope of imaging was inappropriate
(3) Patients with other data deficiencies
(4) Patients deemed inappropriate by the researcher.
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Predictive ability of a machine learning model that automatically analyzes laboratory images of COVID patients for COVID infection<br>Comparison with the ability of emergency department physicians to predict COVID infection
- Secondary Outcome Measures
Name Time Method Comparison of predictive ability in disease severity