COVID-19,SARS-CoV-2 COVID-19,SARS-CoV-2
Conditions
Interventions
None listed
Sponsors
Okada Naoki
Mitsubishi Research Institute, Inc.
Eligibility
Sex/Gender
All
Inclusion criteria
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
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.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| 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
| Measure | Time frame |
|---|---|
| Comparison of predictive ability in disease severity | — |
Contacts
Public ContactNaoki Okada
Osaka General Medical Center
Outcome results
None listed