Adoption of artificial intelligence in breast imaging: evaluation, ethical constraints and limitations.

ABSTRACT: Retrospective studies have shown artificial intelligence (AI) algorithms can match as well as enhance radiologist's performance in breast screening. These tools can facilitate tasks not feasible by humans such as the automatic triage of patients and prediction of treatment outcomes. Breast imaging faces growing pressure with the exponential growth in imaging requests and a predicted reduced workforce to provide reports. Solutions to alleviate these pressures are being sought with an increasing interest in the adoption of AI to improve workflow efficiency as well as patient outcomes. Vast quantities of data are needed to test and monitor AI algorithms before and after their incorporation into healthcare systems. Availability of data is currently limited, although strategies are being devise

SUBMITTER: Hickman SE 

PROVIDER: S-EPMC8257639 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature