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

Artificial Intelligence in Surgery and Perioperative Medicine (34) Machine Learning (1719)

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 Mlodzinski1 Author Orcid Image ;   Gabriel Wardi1, 2 Author Orcid Image ;   Clare Viglione3 Author Orcid Image ;   Shamim Nemati4 Author Orcid Image ;   Laura Crotty Alexander1, 5 Author Orcid Image ;   Atul Malhotra1 Author Orcid Image
Article Authors Cited by (12) 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
  3. Bignami E, Russo M, Bellini V, Berchialla P, Cammarota G, Cascella M, Compagnone C, Sanfilippo F, Maggiore S, Montomoli J, Vetrugno L, Boero E, Cortegiani A, Giarratano A, Pelosi P, De Robertis E. Artificial intelligence and telemedicine in the field of anaesthesiology, intensive care and pain medicine. European Journal of Anaesthesiology Intensive Care 2023;2(5):e0031 View
  4. Satapathy P, Padhi B, Al Khathlan N. Artificial intelligence in respiratory therapy: Opportunities and ethical challenges. Respiratory Medicine 2023;217:107342 View
  5. Padte S, Samala Venkata V, Mehta P, Tawfeeq S, Kashyap R, Surani S. 21st century critical care medicine: An overview. World Journal of Critical Care Medicine 2024;13(1) View
  6. Vitt J, Mainali S. Artificial Intelligence and Machine Learning Applications in Critically Ill Brain Injured Patients. Seminars in Neurology 2024;44(03):342 View
  7. Ke Y, Yang R, Liu N. Comparing Open-Access Database and Traditional Intensive Care Studies Using Machine Learning: Bibliometric Analysis Study. Journal of Medical Internet Research 2024;26:e48330 View
  8. McLennan S, Fiske A, Celi L. Building a house without foundations? A 24-country qualitative interview study on artificial intelligence in intensive care medicine. BMJ Health & Care Informatics 2024;31(1):e101052 View
  9. Hassan M, Kushniruk A, Borycki E. Barriers to and Facilitators of Artificial Intelligence Adoption in Health Care: Scoping Review. JMIR Human Factors 2024;11:e48633 View
  10. Hassan E, El-Ashry A. Leading with AI in critical care nursing: challenges, opportunities, and the human factor. BMC Nursing 2024;23(1) View
  11. Viglione C, Soon K, Wittleder S, Rhee K, Boynton-Jarrett R, Gidwani P, Melendrez B, Hekler E. The California adverse childhood experiences screening roll-out: a survey study of ACEs screening implementation in primary care. Frontiers in Public Health 2025;13 View

Books/Policy Documents

  1. Barua R. Advances in Computational Intelligence for the Healthcare Industry 4.0. View