Artificial Intelligence in Breast X-Ray Imaging

Overview

Journal Semin Ultrasound CT MR

Specialty Radiology

Date 2023 Feb 15

PMID 36792270

Authors

Srinivasan Vedantham

Mohammed Salman Shazeeb

Alan Chiang

Gopal R Vijayaraghavan

Affiliations

Soon will be listed here.

Abstract

This topical review is focused on the clinical breast x-ray imaging applications of the rapidly evolving field of artificial intelligence (AI). The range of AI applications is broad. AI can be used for breast cancer risk estimation that could allow for tailoring the screening interval and the protocol that are woman-specific and for triaging the screening exams. It also can serve as a tool to aid in the detection and diagnosis for improved sensitivity and specificity and as a tool to reduce radiologists' reading time. AI can also serve as a potential second 'reader' during screening interpretation. During the last decade, numerous studies have shown the potential of AI-assisted interpretation of mammography and to a lesser extent digital breast tomosynthesis; however, most of these studies are retrospective in nature. There is a need for prospective clinical studies to evaluate these technologies to better understand their real-world efficacy. Further, there are ethical, medicolegal, and liability concerns that need to be considered prior to the routine use of AI in the breast imaging clinic.

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