Published on in Vol 6, No 1 (2022): January

Preprints (earlier versions) of this paper are available at, first published .
Governing Data and Artificial Intelligence for Health Care: Developing an International Understanding

Governing Data and Artificial Intelligence for Health Care: Developing an International Understanding

Governing Data and Artificial Intelligence for Health Care: Developing an International Understanding


  1. Robles P, Mallinson D. Catching up with AI: Pushing toward a cohesive governance framework. Politics & Policy 2023;51(3):355 View
  2. Akinrinmade A, Adebile T, Ezuma-Ebong C, Bolaji K, Ajufo A, Adigun A, Mohammad M, Dike J, Okobi O. Artificial Intelligence in Healthcare: Perception and Reality. Cureus 2023 View
  3. Stogiannos N, Malik R, Kumar A, Barnes A, Pogose M, Harvey H, McEntee M, Malamateniou C. Black box no more: a scoping review of AI governance frameworks to guide procurement and adoption of AI in medical imaging and radiotherapy in the UK. The British Journal of Radiology 2023 View
  4. Hogg H, Al-Zubaidy M, Keane P, Hughes G, Beyer F, Maniatopoulos G. Evaluating the translation of implementation science to clinical artificial intelligence: a bibliometric study of qualitative research. Frontiers in Health Services 2023;3 View
  5. Castonguay A, Wagner G, Motulsky A, Paré G. AI maturity in health care: An overview of 10 OECD countries. Health Policy 2024;140:104938 View
  6. Wang J, Chavda V, Prajapati R, Bedse A, Patel J, Popat S, Jogi G, Vineela Nalla L, Jetha K, Shen B, Singla R. An amalgamation of bioinformatics and artificial intelligence for COVID-19 management: From discovery to clinic. Current Research in Biotechnology 2023;6:100159 View
  7. Yelne S, Chaudhary M, Dod K, Sayyad A, Sharma R. Harnessing the Power of AI: A Comprehensive Review of Its Impact and Challenges in Nursing Science and Healthcare. Cureus 2023 View
  8. O'Reilly D, McGrath J, Martin-Loeches I. Optimizing artificial intelligence in sepsis management: Opportunities in the present and looking closely to the future. Journal of Intensive Medicine 2024;4(1):34 View
  9. Karpathakis K, Pencheon E, Cushnan D. Learning From International Comparators of National Medical Imaging Initiatives for AI Development: Multiphase Qualitative Study. JMIR AI 2024;3:e51168 View
  10. Osborne M, Hawkins R, Nicholson M, Alexander R. Understanding safety engineering practice: Comparing safety engineering practice as desired, as required, and as observed. Safety Science 2024;172:106424 View
  11. Sirbu R, Morley J, Floridi L. Artificial intelligence for health insurance: A proposed framework for FDA oversight. SSRN Electronic Journal 2024 View
  12. AllahRakha N. Transformation of Crimes (Cybercrimes) in Digital Age. International Journal of Law and Policy 2024;2(2) View
  13. Karpathakis K, Morley J, Floridi L. A Justifiable Investment in AI for Healthcare: Aligning Ambition with Reality. SSRN Electronic Journal 2024 View
  14. Harishbhai Tilala M, Kumar Chenchala P, Choppadandi A, Kaur J, Naguri S, Saoji R, Devaguptapu B. Ethical Considerations in the Use of Artificial Intelligence and Machine Learning in Health Care: A Comprehensive Review. Cureus 2024 View
  15. Slominski R, Kim T, Janjetovic Z, Brożyna A, Podgorska E, Dixon K, Mason R, Tuckey R, Sharma R, Crossman D, Elmets C, Raman C, Jetten A, Indra A, Slominski A. Malignant Melanoma: An Overview, New Perspectives, and Vitamin D Signaling. Cancers 2024;16(12):2262 View
  16. Nene L, Flepisi B, Brand S, Basson C, Balmith M. Evolution of Drug Development and Regulatory Affairs: The Demonstrated Power of Artificial Intelligence. Clinical Therapeutics 2024 View
  17. Sosa-Holwerda A, Park O, Albracht-Schulte K, Niraula S, Thompson L, Oldewage-Theron W. The Role of Artificial Intelligence in Nutrition Research: A Scoping Review. Nutrients 2024;16(13):2066 View

Books/Policy Documents

  1. Gomes J, Iivari M, Koivumäki T, Immonen M, Jansson M, Pikkarainen M, Rasmus K, Xu Y. Collaborative Networks in Digitalization and Society 5.0. View
  2. Mondal H, Mondal S. . View