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 .
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

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

Farhad Abtahi   1, 2, 3 , PhD ;   Fernando Seoane   1, 3, 4, 5 , PhD ;   Ivan Pau   6 , PhD ;   Mario Vega-Barbas   6 , PhD

1 Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Huddinge, Stockholm, Sweden

2 Department of Biomedical Engineering and Health Systems, KTH Royal Institute of Technology, Huddinge, Stockholm, Sweden

3 Department of Clinical Physiology, Karolinska University Hospital, Huddinge, Stockholm, Sweden

4 Department of Medical Technology, Karolinska University Hospital, Stockholm, Sweden

5 Department of Textile Technology, University of Borås, Borås, Västra Götaland, Sweden

6 ETSIS de Telecomunicación, Universidad Politécnica de Madrid, Madrid, Madrid, Spain

Corresponding Author:

  • Farhad Abtahi, PhD
  • Department of Clinical Science, Intervention and Technology
  • Karolinska Institutet
  • Alfred Nobels Allé 8
  • Huddinge, Stockholm 14152
  • Sweden
  • Phone: 46 8 524 838 01
  • Email: farhad.abtahi@ki.se