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This paper is in the following e-collection/theme issue:

Digital Health Reviews (1856) Decision Support for Health Professionals (1670) Machine Learning (2280) Breast Cancer (329) Artificial Intelligence (2423) Cancer Prognosis Models and Machine Learning (88) Medical imaging (143)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/91659, first published .
Deep Learning Algorithms Versus Radiologists in Digital Breast Tomosynthesis for Breast Cancer Detection: Systematic Review and Meta-Analysis

Deep Learning Algorithms Versus Radiologists in Digital Breast Tomosynthesis for Breast Cancer Detection: Systematic Review and Meta-Analysis

Deep Learning Algorithms Versus Radiologists in Digital Breast Tomosynthesis for Breast Cancer Detection: Systematic Review and Meta-Analysis

Authors of this article:

Shewen Lyu1 Author Orcid Image ;   Zepeng Wang1 Author Orcid Image ;   Yujing Mu1 Author Orcid Image ;   Luyao Wang1 Author Orcid Image ;   Xiaohua Pei1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Shewen Lyu   1 , PhD ;   Zepeng Wang   1 , PhD ;   Yujing Mu   1 , PhD ;   Luyao Wang   1 , PhD ;   Xiaohua Pei   1 , MD

1 Beijing University of Chinese Medicine Third Affiliated Hospital, Beijing, China

Corresponding Author:

  • Xiaohua Pei, MD
  • Beijing University of Chinese Medicine Third Affiliated Hospital
  • 51 Xiaoguan Street, Andingmenwai, Chaoyang District
  • Beijing 100029
  • China
  • Phone: 86 13911683278
  • Email: hl0002@bucm.edu.cn