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

Design and Usability of Clinical Software and EHRs (348) Clinical Information and Decision Making (1915) Decision Support for Health Professionals (1539) Safety and Error Prevention in Health (240) Artificial Intelligence (2129) Intensive Care Unit (ICU) (160)

Published on in Vol 10 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39114, first published .
Intensive Care Unit Physicians’ Perspectives on Artificial Intelligence–Based Clinical Decision Support Tools: Preimplementation Survey Study

Intensive Care Unit Physicians’ Perspectives on Artificial Intelligence–Based Clinical Decision Support Tools: Preimplementation Survey Study

Intensive Care Unit Physicians’ Perspectives on Artificial Intelligence–Based Clinical Decision Support Tools: Preimplementation Survey Study

Authors of this article:

Siri L van der Meijden1, 2, 3 Author Orcid Image ;   Anne A H de Hond2, 4 Author Orcid Image ;   Patrick J Thoral5 Author Orcid Image ;   Ewout W Steyerberg4 Author Orcid Image ;   Ilse M J Kant2, 4 Author Orcid Image ;   Giovanni Cinà6, 7, 8 Author Orcid Image ;   M Sesmu Arbous1 Author Orcid Image
Article Authors Cited by (21) Tweetations (7) Metrics

Journals

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  12. Popoff B, Cabon S, Cuggia M, Bouzillé G, Clavier T. Expectations of Intensive Care Physicians Regarding an AI-Based Decision Support System for Weaning From Continuous Renal Replacement Therapy: Predevelopment Survey Study. JMIR Medical Informatics 2025;13:e63709 View
  13. Elfaham R, Alnaaim S, Maqbul M, Elfaham S, Alharbi G, Alshehri W, Almahyawi F, Aljadani N, Bahkali R, Eldeen Elbahaie A, Shakrah O, Alzubaidi M, Alshehri W, Alsultan E, Adam Alzahrani A. The Human-AI Frontier: An in-depth exploration of physicians' apprehension and Outlook Towards Artificial Intelligence in gastroenterology healthcare. Gastroenterology & Endoscopy 2025;3(4):211 View
  14. Giebel G, Raszke P, Nowak H, Palmowski L, Adamzik M, Heinz P, Tokic M, Timmesfeld N, Brunkhorst F, Wasem J, Blase N. Improving AI-Based Clinical Decision Support Systems and Their Integration Into Care From the Perspective of Experts: Interview Study Among Different Stakeholders. JMIR Medical Informatics 2025;13:e69688 View
  15. Kalimouttou A, Stevens R, Pirracchio R. Harnessing AI in critical care: opportunities, challenges and key steps for success. Thorax 2025:thorax-2024-222125 View
  16. Byberg E, Crimi M. Preparing hospitals and health organizations for AI: practical guidelines for the required infrastructure. Frontiers in Digital Health 2025;7 View
  17. Abdelbaky A, Elmasry W, Awad A, Khan S. Role of Artificial Intelligence in Critical Care Medicine: A Literature Review. Cureus 2025 View
  18. Nguyen O, Churpek M, Wiegmann D. Factors Associated with Purpose-, Process-, and Performance-related Trust for Artificial Intelligence Technologies for Clinical Practice Among Healthcare Professionals: A Review of Empirical Research. Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 2025;14(1):33 View
  19. Das Graças Mendes Júnior L, Marcio de Lima G, Oliveira Tavares J, Rebeca Antunes Mendonça L, Silva Narciso T. O USO DA INTELIGÊNCIA ARTIFICIAL NO AUXÍLIO DA TRIAGEM DE ADULTOS EM SERVIÇOS DE EMERGÊNCIA. RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218 2025;6(10):e6106821 View
  20. Das O, Tang L, Oh E, Suarez J, Theodore N, Azad T. Machine learning models for predicting postoperative delirium in non-cardiac surgery patients — systematic review and meta-analysis. GeroScience 2025 View
  21. Gülten E, Derin O, Arslan E, Atasoy Tahtasakal C, Temoçin F, Memişoğlu F, Aktuğ Demir N. From awareness to action: A nationwide survey of infectious diseases and clinical microbiology physicians’ perspectives on artificial intelligence in clinical practice. DIGITAL HEALTH 2025;11 View