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

Viewpoints on and Experiences with Digital Technologies in Health (83) Registered Report (579) Data Science (278) Machine Learning (1501) Methods and Instruments in Medical Informatics (135) Quality Improvement (260) Design of Processes and Workflows (108) Safety and Error Prevention in Health (206)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50437, first published .
Considerations for Quality Control Monitoring of Machine Learning Models in Clinical Practice

Considerations for Quality Control Monitoring of Machine Learning Models in Clinical Practice

Considerations for Quality Control Monitoring of Machine Learning Models in Clinical Practice

Authors of this article:

Louis Faust1 Author Orcid Image ;   Patrick Wilson1 Author Orcid Image ;   Shusaku Asai1 Author Orcid Image ;   Sunyang Fu2 Author Orcid Image ;   Hongfang Liu2 Author Orcid Image ;   Xiaoyang Ruan2 Author Orcid Image ;   Curt Storlie1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Louis Faust   1 , PhD ;   Patrick Wilson   1 , MPH ;   Shusaku Asai   1 , MS ;   Sunyang Fu   2 , PhD ;   Hongfang Liu   2 , PhD ;   Xiaoyang Ruan   2 , PhD ;   Curt Storlie   1 , PhD

1 Robert D and Patricia E Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, United States

2 Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, MN, United States

Corresponding Author:

  • Louis Faust, PhD
  • Robert D and Patricia E Kern Center for the Science of Health Care Delivery
  • Mayo Clinic
  • Mayo Clinic, 200 First St. SW
  • Rochester, MN, 55905
  • United States
  • Phone: 1 (507) 284 2511
  • Email: Faust.Louis@mayo.edu