COVID Triage AI Algorithm Using CT Images

JRCT ID: jRCT1050210089

Registered date:22/09/2021

Basic Information

• Recruitment status: Recruiting
• Health condition(s) or Problem(s) studied: COVID-19,SARS-CoV-2
• Date of first enrollment: 07/10/2020
• Target sample size: 3000
• Study type: Observational

Outcome(s)

Primary Outcome

Predictive ability of a machine learning model that automatically analyzes laboratory images of COVID patients for COVID infection
Comparison with the ability of emergency department physicians to predict COVID infection

• Secondary Outcome: Comparison of predictive ability in disease severity

Key inclusion & exclusion criteria

• Age minimum: Not applicable
• Age maximum: Not applicable
• Gender: Both
• Include 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.

Exclude 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.

Related Information

• Primary Sponsor: Okada Naoki
• Secondary Sponsor: Mitsubishi Research Institute, Inc.