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

Artificial Intelligence (5105) Ethics, Privacy, and Legal Issues (853) Clinical Informatics (2431) Security in Digital Health (86) Responsible Health AI (275) AI Governance and Policy (84) Ambient AI Scribes and AI-Driven Documentation Technologies (117)

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

Authors of this article:

Farhad Abtahi1, 2, 3 Author Orcid Image ;   Fernando Seoane1, 3, 4, 5 Author Orcid Image ;   Ivan Pau6 Author Orcid Image ;   Mario Vega-Barbas6 Author Orcid Image
Article Authors Cited by (22) Tweetations (7) Metrics

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;33(8):12263 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;33(10):15229 View
  6. Basaldua Galarza A, Gamarra-Moreno A, Quispe Bautista W, Rojas Guillén J. AI-Enabled Healthcare Systems: A Scoping Review of Socio-Technical, Governance, and Implementation Challenges. Systems 2026;14(9):1124 View
  7. Kioskli K, Seralidou E, Fotis T, Polemi N. Assessing Cybersecurity Capabilities in AI-Enabled Healthcare Systems Using trustSense. Information 2026;17(10):939 View
  8. Davis S, Pei L, Liu J, Enciso Z, Cheng B, Zhao X, Chen D, Cao N. A 65-nm Multi-Modal Bayesian Inference Engine With 16.3-fJ/Sample Calibration-Free GRNG for Risk-Aware At-Home Skin Lesion Screening. IEEE Transactions on Circuits and Systems I: Regular Papers 2026;73(10):6673 View
  9. Saravi B, Singh D, Schorn L, Vollmer A, Sproll C, Kübler N, Schrader F. Image-embedded prompt injection vulnerability of vision-language models in dental radiology: a cross-vendor attack–defense evaluation. Scientific Reports 2026;16(1) View
  10. DeVerna M, Yan H, Yang K, Menczer F. The invisible risks of AI-generated health information. Nature Health 2026 View
  11. Afdideh F, Astaraki M, Seoane F, Abtahi F. AEGIS: an operational infrastructure for post-market governance of adaptive medical AI under US and EU regulatory frameworks. npj Digital Medicine 2026;9(1) View
  12. Sielaff P, Brudek A, Nowakowski A, Piwar H, Pawłasek J, Lis M, Hernik K, Sucharski M, Kacynel E. FROM PIXELS TO PROMPTS: A STRUCTURED NARRATIVE REVIEW OF SECURITY, PRIVACY, AND ADVERSARIAL ROBUSTNESS IN HEALTHCARE AI. International Journal of Innovative Technologies in Social Science 2026;1(4(52)) View
  13. León-Figueroa D, Acosta-Porzoliz R, Cómina-Tamayo M, Aguirre-Milachay E, Vera-Ponce V, Valladares-Garrido M. Artificial intelligence in healthcare: clinical applications, evidence maturity, risks, and life-cycle governance. International Journal of Medical Informatics 2027;223:106771 View
  14. Wu J, Huang R, Wen L, Zhang M. H-PRISM: Hilbert parameter representation for inspection of structural malice for stealthy poisoning detection in medical federated learning. Information Sciences 2026:124342 View
  15. Khunji H, Elmedany W, Hewahi N, Sharif M. Federated Learning for Official Statistics: A Systematic Review of Privacy‐Preserving Architectures and the Path Toward GSBPM Integration. Concurrency and Computation: Practice and Experience 2026;38(21) View
  16. Pletta K, Kotleski K, Moreno M, Babal J. Parent Perceptions of Virtual and Artificial Intelligence Scribes at Pediatric Medical Visits. Applied Clinical Informatics 2026;17(05):961 View

Books/Policy Documents

  1. Artuso D, Lax G. Information Processing and Management of Uncertainty in Knowledge-Based Systems. View
  2. Pal K. Navigating Accountability and Human Rights in AI-Powered Supply Chains. View
  3. Koshiya H, Gehlawat M, Girdhar S, Kumar P. Artificial Intelligence in Medicine and Surgery - An Exploration of Current Trends, Potential Opportunities, and Evolving Threats, Volume 5 [Working Title]. View

Conference Proceedings

  1. Fernandez E, Abtahi F, Seoane F. 2026 11th International Conference on Smart and Sustainable Technologies (SpliTech). Benchmarking Process Model Representations for the LLM-Driven HealthProcessAI Framework View
  2. Patel D, Shah J, Kushwaha A. 2026 International Conference on Secure Information Systems and Technologies (ICSIST). Advances in Detecting and Mitigation Adversarial Manipulations in Medical Imaging: A Review View
  3. Sree E, M R, Mandru D. 2026 International Conference on Secure Information Systems and Technologies (ICSIST). Cloud-Aware Adaptive Defense Framework for MLaaS Against Single and Hybrid Attacks View