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

Artificial Intelligence in Surgery and Perioperative Medicine (24) Machine Learning (1400) Breast Cancer (201)

Published on in Vol 5, No 1 (2022): Jan-Dec

This is a member publication of University College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34600, first published .
The Use of Machine Learning to Reduce Overtreatment of the Axilla in Breast Cancer: Retrospective Cohort Study

The Use of Machine Learning to Reduce Overtreatment of the Axilla in Breast Cancer: Retrospective Cohort Study

The Use of Machine Learning to Reduce Overtreatment of the Axilla in Breast Cancer: Retrospective Cohort Study

Authors of this article:

Felix Jozsa1 Author Orcid Image ;   Rose Baker2 Author Orcid Image ;   Peter Kelly3 Author Orcid Image ;   Muneer Ahmed3 Author Orcid Image ;   Michael Douek4 Author Orcid Image
Article Authors Cited by Tweetations (3) Metrics

Felix Jozsa   1 , BMUS, MBBS ;   Rose Baker   2 , PhD ;   Peter Kelly   3 , MBBS ;   Muneer Ahmed   3 , MBBS, PhD ;   Michael Douek   4 , MD, EBSQ

1 Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, United Kingdom

2 School of Business, University of Salford, Salford, United Kingdom

3 Division of Surgery and Interventional Science, University College London, London, United Kingdom

4 Nuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom

Corresponding Author:

  • Felix Jozsa, BMUS, MBBS
  • Victor Horsley Department of Neurosurgery
  • National Hospital for Neurology and Neurosurgery
  • Queen Square
  • London, WC1N 3BG
  • United Kingdom
  • Phone: 44 020 3456 7890
  • Email: f.jozsa@ucl.ac.uk