Use of artificial intelligence for image analysis in breast cancer screening programmes: systematic review of test accuracy.

ABSTRACT:

Objective

To examine the accuracy of artificial intelligence (AI) for the detection of breast cancer in mammography screening practice.

Design

Systematic review of test accuracy studies.

Data sources

Medline, Embase, Web of Science, and Cochrane Database of Systematic Reviews from 1 January 2010 to 17 May 2021.

Eligibility criteria

Studies reporting test accuracy of AI algorithms, alone or in combination with radiologists, to detect cancer in women's digital mammograms in screening practice, or in test sets. Reference standard was biopsy with histology or follow-up (for screen negative women). Outcomes included test accuracy and cancer type detected.

Study selection and synthesis

Two reviewers independently assessed articles for inclusion and assessed th

SUBMITTER: Freeman K 

PROVIDER: S-EPMC8409323 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature