Computer-Aided Detection for Breast Cancer Screening in Clinical Settings: Scoping Review.

ABSTRACT:

Background

With the growth of machine learning applications, the practice of medicine is evolving. Computer-aided detection (CAD) is a software technology that has become widespread in radiology practices, particularly in breast cancer screening for improving detection rates at earlier stages. Many studies have investigated the diagnostic accuracy of CAD, but its implementation in clinical settings has been largely overlooked.

Objective

The aim of this scoping review was to summarize recent literature on the adoption and implementation of CAD during breast cancer screening by radiologists and to describe barriers and facilitators for CAD use.

Methods

The MEDLINE database was searched for English, peer-reviewed articles that described CAD implementation, including barr

SUBMITTER: Masud R 

PROVIDER: S-EPMC6670274 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature