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Published on in Vol 14 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/62704, first published .
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User-Oriented Requirements for Artificial Intelligence–Based Clinical Decision Support Systems in Sepsis: Protocol for a Multimethod Research Project

User-Oriented Requirements for Artificial Intelligence–Based Clinical Decision Support Systems in Sepsis: Protocol for a Multimethod Research Project

Journals

  1. 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
  2. Raszke P, Giebel G, Wasem J, Adamzik M, Nowak H, Palmowski L, Heinz P, Timmesfeld N, Tokic M, Brunkhorst F, Blase N. Patient Benefits in the Context of Sepsis-Related AI-Based Clinical Decision Support Systems: Scoping Review. Journal of Medical Internet Research 2026;28:e76772 View
  3. Giebel G, Raszke P, Tokic M, Palmowski L, Timmesfeld N, Nowak H, Adamzik M, Heinz P, Mreyen S, Brunkhorst F, Wasem J, Buchner F, Blase N. Attitude and perception toward artificial intelligence among German physicians with intensive care experience: a survey study. Frontiers in Health Services 2026;5 View
  4. Burlacu A, Olariu M, Geman O, Iftene A, Bogdan-Goroftei R, Brinza C. Beyond the black box: interpretability, accountability, and responsible clinical integration of AI-driven heart rate variability models—a narrative review. Frontiers in Computer Science 2026;8 View