Accessibility settings

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

Novel and Innovative Approaches to Care Involving Nurses (155) Adoption and Change Management of eHealth Systems (1115) Artificial Intelligence (4753) Theme Issue: AI and Human Factors—Towards Successful Application of AI in Health Care (68) Attitudes, Beliefs, and Health Behaviours in Human Factors Research (148) Theme Issue: Human Factors in Health Care: Education, Management, and Knowledge Translation (29)

Published on in Vol 9 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/85649, first published .
Doctor listens to elderly patient's heart in hospital room while nurse observes

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 (8) 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
  3. Alrasheeday A, ALhawsawi A, Alshammari B, Alkubati S, Aouicha W, Tlili M, Alharbi A, Siam B, Mahmoud S, Elamin B, Alshammari L, Motakef H, Alkhammali T, Alanazi A, Alshammari F, Alshammari H, Almohammed R, Alomran R. Knowledge, Attitude, Benefits, Risks, Barriers, Professional Impact, and Preparedness of Nursing Students Toward the Utilization of Artificial Intelligence in Healthcare. Nursing Reports 2026;16(5):154 View
  4. Elsayed R, Nagy A, El-Said Hussein E, Elsayed R, Ramadan R. Nurses’ knowledge, attitudes, and perceived challenges toward artificial intelligence applications in patient care: a descriptive-analytical cross-sectional study. BMC Nursing 2026;25(1) View
  5. Balachandran S, Muliira J, Lazarus E, Al Bulushi S, Al Mamari R, Al Bakri A, Al Alawi S. Artificial Intelligence-Related Literacy and Fears Among Critical Care Nurses in Oman: A National Study. Sci 2026;8(8):194 View
  6. Nigrelli D, Lo Monaco M, Figura M, Peghetti A, Iacorossi L, Latina R, Anastasi G. Artificial intelligence applications for wound management in nursing palliative care: a narrative review. Advancements in Health Research 2026;3 View
  7. Clement David-Olawade A, Osonuga A, Olawade D. Nurses' knowledge, attitudes, literacy, anxiety, and readiness towards artificial intelligence in clinical practice: An international scoping review. Applied Nursing Research 2026;91:152135 View
  8. Alkubati S, T Almagharbeh W, A Alqalah T, Salameh B, Albaqawi H, M Alrasheeday A, Alharbi A, Alshammari L, Alshammari B, Pasay-an E, Abdulkareem A, Mohammed Elsayed S. Factors Influencing Nursing Internship Students’ Readiness to Use AI: Cross-Sectional Study Using Neural Network Analysis. JMIR Nursing 2026;9:e92533 View