Literature DB >> 33222996

Applications of Artificial Intelligence in Breast Imaging.

Matthew B Morgan1, Jonathan L Mates2.   

Abstract

Artificial intelligence (AI) technology shows promise in breast imaging to improve both interpretive and noninterpretive tasks. AI-based screening triage may help identify normal examinations and AI-based computer-aided detection (AI-CAD) may increase cancer detection and reduce false positives. Risk assessment, quality assurance, and other workflow tasks may also be streamlined. AI adoption will depend on robust evidence of improved quality, increased efficiency, and cost-effectiveness. Reliance on AI will likely proceed through stages and will involve careful attention to its limitations to prevent overconfidence in its application.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Artificial intelligence; Breast imaging; Machine learning; Mammography

Mesh:

Year:  2021        PMID: 33222996     DOI: 10.1016/j.rcl.2020.08.007

Source DB:  PubMed          Journal:  Radiol Clin North Am        ISSN: 0033-8389            Impact factor:   2.303


  4 in total

Review 1.  AI-enhanced breast imaging: Where are we and where are we heading?

Authors:  Almir Bitencourt; Isaac Daimiel Naranjo; Roberto Lo Gullo; Carolina Rossi Saccarelli; Katja Pinker
Journal:  Eur J Radiol       Date:  2021-07-30       Impact factor: 4.531

2.  Research Highlight: Artificial Intelligence for Ruling Out Negative Examinations in Screening Breast MRI.

Authors:  Ji Hyun Youk; Eun-Kyung Kim
Journal:  Korean J Radiol       Date:  2022-02       Impact factor: 3.500

Review 3.  Deep learning in breast imaging.

Authors:  Arka Bhowmik; Sarah Eskreis-Winkler
Journal:  BJR Open       Date:  2022-05-13

4.  Evolution of research trends in artificial intelligence for breast cancer diagnosis and prognosis over the past two decades: A bibliometric analysis.

Authors:  Asif Hassan Syed; Tabrej Khan
Journal:  Front Oncol       Date:  2022-09-23       Impact factor: 5.738

  4 in total

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