COVID-19 pneumonia accurately detected on chest radiographs with artificial intelligence.

ABSTRACT:

Purpose

To investigate the diagnostic performance of an Artificial Intelligence (AI) system for detection of COVID-19 in chest radiographs (CXR), and compare results to those of physicians working alone, or with AI support.

Materials and methods

An AI system was fine-tuned to discriminate confirmed COVID-19 pneumonia, from other viral and bacterial pneumonia and non-pneumonia patients and used to review 302 CXR images from adult patients retrospectively sourced from nine different databases. Fifty-four physicians blind to diagnosis, were invited to interpret images under identical conditions in a test set, and randomly assigned either to receive or not receive support from the AI system. Comparisons were then made between diagnostic performance of physicians working with and

SUBMITTER: Dorr F 

PROVIDER: S-EPMC7674009 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature