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

Artificial Intelligence in Surgery and Perioperative Medicine (13) Machine Learning (1056)

Published on in Vol 6 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41056, first published .
Assessing Barriers to Implementation of Machine Learning and Artificial Intelligence–Based Tools in Critical Care: Web-Based Survey Study

Assessing Barriers to Implementation of Machine Learning and Artificial Intelligence–Based Tools in Critical Care: Web-Based Survey Study

Assessing Barriers to Implementation of Machine Learning and Artificial Intelligence–Based Tools in Critical Care: Web-Based Survey Study

Authors of this article:

Eric Mlodzinski 1 Author Orcid Image ;   Gabriel Wardi 1, 2 Author Orcid Image ;   Clare Viglione 3 Author Orcid Image ;   Shamim Nemati 4 Author Orcid Image ;   Laura Crotty Alexander 1, 5 Author Orcid Image ;   Atul Malhotra 1 Author Orcid Image
Article Authors Cited by (2) Tweetations (9) Metrics

Journals

  1. Saqib M, Iftikhar M, Neha F, Karishma F, Mumtaz H. Artificial intelligence in critical illness and its impact on patient care: a comprehensive review. Frontiers in Medicine 2023;10 View
  2. Solanki S. Artificial intelligence in airway management and anaesthesia. Airway 2023;6(1):1 View