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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

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  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