Artificial intelligence for stepwise diagnosis and monitoring of COVID-19.

ABSTRACT:

Background

Main challenges for COVID-19 include the lack of a rapid diagnostic test, a suitable tool to monitor and predict a patient's clinical course and an efficient way for data sharing among multicenters. We thus developed a novel artificial intelligence system based on deep learning (DL) and federated learning (FL) for the diagnosis, monitoring, and prediction of a patient's clinical course.

Methods

CT imaging derived from 6 different multicenter cohorts were used for stepwise diagnostic algorithm to diagnose COVID-19, with or without clinical data. Patients with more than 3 consecutive CT images were trained for the monitoring algorithm. FL has been applied for decentralized refinement of independently built DL models.

Results

A total of 1,552,988 CT slices fro

SUBMITTER: Liang H 

PROVIDER: S-EPMC8731211 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature