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

Novel and Innovative Approaches to Care Involving Nurses (80) Adoption and Change Management of eHealth Systems (975) Artificial Intelligence (2423) Theme Issue: AI and Human Factors—Towards Successful Application of AI in Health Care (24) Attitudes, Beliefs, and Health Behaviours in Human Factors Research (99) Theme Issue: Human Factors in Health Care: Education, Management, and Knowledge Translation (15)

Published on in Vol 9 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/85649, first published .
Insights Into Factors Affecting Nurses’ Knowledge of and Attitudes Toward AI and Implications for Successful AI Integration in Critical Care: Cross-Sectional Study

Insights Into Factors Affecting Nurses’ Knowledge of and Attitudes Toward AI and Implications for Successful AI Integration in Critical Care: Cross-Sectional Study

Insights Into Factors Affecting Nurses’ Knowledge of and Attitudes Toward AI and Implications for Successful AI Integration in Critical Care: Cross-Sectional Study

Authors of this article:

Habib Alrashedi1 Author Orcid Image ;   Saad M Alderaan1, 2 Author Orcid Image ;   Nader Alnomasy1 Author Orcid Image ;   Hamdi Lamine3 Author Orcid Image ;   Khalil A Saleh1 Author Orcid Image ;   Sameer A Alkubati1 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Aydın E, Aydın Kahraman H. Hemşirelerde Yapay Zekâ Kaygısı: Teknolojik Gelişmeler Bağlamında Tanımlayıcı Bir Araştırma. Gümüşhane Üniversitesi Sağlık Bilimleri Dergisi 2026;15(1):127 View
  2. Alrashedi H, Alnomasy N, Mostoles R. Application of the Technology Acceptance Model to Predict Nursing Students’ Intention to Use Informatics: Cross-Sectional Study. JMIR Nursing 2026;9:e85385 View