AI-enhanced Breast Imaging: Where Are We and Where Are We Heading?

Overview

Journal Eur J Radiol

Specialty Radiology

Date 2021 Aug 15

PMID 34392105

Citations 27

Authors

Almir Bitencourt

Isaac Daimiel Naranjo

Roberto Lo Gullo

Carolina Rossi Saccarelli

Katja Pinker

Affiliations

Soon will be listed here.

Abstract

Significant advances in imaging analysis and the development of high-throughput methods that can extract and correlate multiple imaging parameters with different clinical outcomes have led to a new direction in medical research. Radiomics and artificial intelligence (AI) studies are rapidly evolving and have many potential applications in breast imaging, such as breast cancer risk prediction, lesion detection and classification, radiogenomics, and prediction of treatment response and clinical outcomes. AI has been applied to different breast imaging modalities, including mammography, ultrasound, and magnetic resonance imaging, in different clinical scenarios. The application of AI tools in breast imaging has an unprecedented opportunity to better derive clinical value from imaging data and reshape the way we care for our patients. The aim of this study is to review the current knowledge and future applications of AI-enhanced breast imaging in clinical practice.

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