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

Applications of AI (272) Artificial Intelligence (2064) Theoretical Innovations in AI (6)

Published on in Vol 2 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48123, first published .
Effect of Benign Biopsy Findings on an Artificial Intelligence–Based Cancer Detector in Screening Mammography: Retrospective Case-Control Study

Effect of Benign Biopsy Findings on an Artificial Intelligence–Based Cancer Detector in Screening Mammography: Retrospective Case-Control Study

Effect of Benign Biopsy Findings on an Artificial Intelligence–Based Cancer Detector in Screening Mammography: Retrospective Case-Control Study

Authors of this article:

Athanasios Zouzos1 Author Orcid Image ;   Aleksandra Milovanovic1 Author Orcid Image ;   Karin Dembrower1 Author Orcid Image ;   Fredrik Strand1 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Abu Abeelh E, Abuabeileh Z. Screening Mammography and Artificial Intelligence: A Comprehensive Systematic Review. Cureus 2025 View
  2. Romagosa J, Mata C, Benítez R, Valls-Esteve A, Bernaus S, Ibnoulkhatib M, Stephan-Otto C, Munuera J. GradCAM as an explicability method to evaluate the performance of deep learning models in classifying pediatric arteriovenous malformations (AVM) in arterial spin labeling sequences (ASL). Health Information Science and Systems 2025;13(1) View