Artificial Intelligence-assisted chest X-ray assessment scheme for COVID-19.

ABSTRACT:

Objectives

To study whether a trained convolutional neural network (CNN) can be of assistance to radiologists in differentiating Coronavirus disease (COVID)-positive from COVID-negative patients using chest X-ray (CXR) through an ambispective clinical study. To identify subgroups of patients where artificial intelligence (AI) can be of particular value and analyse what imaging features may have contributed to the performance of AI by means of visualisation techniques.

Methods

CXR of 487 patients were classified into [4] categories-normal, classical COVID, indeterminate, and non-COVID by consensus opinion of 2 radiologists. CXR which were classified as "normal" and "indeterminate" were then subjected to analysis by AI, and final categorisation provided as guided by prediction

SUBMITTER: Rangarajan K 

PROVIDER: S-EPMC7816060 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature