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Published on in Vol 28 (2026)

This is a member publication of Bibsam Consortium

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/87969, first published .
AI brain with data streams and warning symbol

Data Poisoning Vulnerabilities Across Health Care Artificial Intelligence Architectures: Analytical Security Framework and Defense Strategies

Data Poisoning Vulnerabilities Across Health Care Artificial Intelligence Architectures: Analytical Security Framework and Defense Strategies

Journals

  1. Kumar S, Pandey Y, Verma S, Jee Pandey O, Cenkeramaddi L. Security and Privacy of Cyber-Physical System in Healthcare Domain: A Comprehensive Survey. Archives of Computational Methods in Engineering 2026 View
  2. Yin X, Song H, Moreira J, Song C, Sun Y. Exploring perceptions of data risks in AI-enabled nursing research: A qualitative study. DIGITAL HEALTH 2026;12 View
  3. Bernau R, Buuck T, Degener L, Mühlenfeld H, Roos M, Steinhäuser J, Ostendorf T, Weinert K, Winter B. Hausärztliche Primärversorgung – Garant für unser Gesundheitssystem. Zeitschrift für Allgemeinmedizin 2026 View
  4. Iwasaki M. Defensive Discrimination and the Cyber-Bioethics of Federated Learning in Healthcare. The American Journal of Bioethics 2026;26(8):145 View
  5. Prakash P, Juneja M, Archita , Kaur H, Gopinathan N, Jindal P. Advances in EMG, EEG, and Hybrid-Based Prosthetic Arm Control: A Comprehensive Review on Machine Learning, Deep Learning, and Multimodal Approaches. Archives of Computational Methods in Engineering 2026 View

Books/Policy Documents

  1. Artuso D, Lax G. Information Processing and Management of Uncertainty in Knowledge-Based Systems. View