Applications of artificial intelligence in the thorax: a narrative review focusing on thoracic radiology.

ABSTRACT:

Objective

This review will focus on how AI-and, specifically, deep learning-can be applied to complement aspects of the current healthcare system. We describe how AI-based tools can augment existing clinical workflows by discussing the applications of AI to worklist prioritization and patient triage, the performance-boosting effects of AI as a second reader, and the use of AI to facilitate complex quantifications. We also introduce prominent examples of recent AI applications, such as tuberculosis screening in resource-constrained environments, the detection of lung cancer with screening CT, and the diagnosis of COVID-19. We also provide examples of prognostic predictions and new discoveries beyond existing clinical practices.

Background

Artificial intelligence (AI) has show

SUBMITTER: Kim Y 

PROVIDER: S-EPMC8743417 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature