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Published on in Vol 7 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57899, first published .
Expectations and Requirements of Surgical Staff for an AI-Supported Clinical Decision Support System for Older Patients: Qualitative Study

Expectations and Requirements of Surgical Staff for an AI-Supported Clinical Decision Support System for Older Patients: Qualitative Study

Expectations and Requirements of Surgical Staff for an AI-Supported Clinical Decision Support System for Older Patients: Qualitative Study

Journals

  1. Yang Y, Tu Z. Rethinking AI in the social sciences: insights from a systematic review of ageing research in English and Chinese literature. AI & SOCIETY 2026;41(2):1401 View
  2. Leinert C, Brefka S, Fotteler M, Mueller-Stierlin A, Gebhard F, Rahbari N, Bolenz C, Kestler H, Dallmeier D, Denkinger M, Kocar T. Standard-of-care vs expert-recommended discharge destinations for geriatric surgical inpatients: a prospective observational cohort study. European Geriatric Medicine 2025;17(1):323 View
  3. Rezaeian O, Ghorbanichemazkati E, Bayrak A, Asan O. Clinician perspectives on trust and adoption of AI in breast cancer diagnosis. IISE Transactions on Healthcare Systems Engineering 2026;16(1):32 View
  4. Basile G, Bolcato V, Bambagiotti G, Bianco Prevot L, Tronconi L. When Intuition Meets the Algorithm: Medico-Legal Implications of Artificial Intelligence-Driven Decision-Making in Orthopedics. Bioengineering 2026;13(2):227 View
  5. Borat S, Chowdhury S. Artificial intelligence-driven clinical decision support systems for precision oncology: A comprehensive review. In Silico Research in Biomedicine 2026;2:100265 View
  6. Bose S, Prakash A, Prusty A, Verma R, Padmavathy K, Iragamreddy V. Artificial Intelligence (AI) Supported Decision-Making in Intensive Care Units: Implications for Nursing and Medical Practice. Cureus 2026 View