COVID Triage Machine Learning Algorithm Using CT Images Multicenter Observational Study (AICOVID study)

Osaka General Medical Center0 个研究点目标入组 3,000 人开始时间: 2020年10月7日最近更新: 2021年9月22日

试验速览

暂无简介。

•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.

•(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.

Predictive ability of a machine learning model

Automatically analyzes laboratory images of COVID patients for COVID infection

Comparison with emergency department physicians

Ability to predict COVID infection

未报告次要终点

发起方