Recommendations to overcome barriers to the use of artificial intelligence-driven evidence in health technology assessment

  1. Zemplényi, A.
  2. Tachkov, K.
  3. Balkanyi, L.
  4. Németh, B.
  5. Petykó, Z.I.
  6. Petrova, G.
  7. Czech, M.
  8. Dawoud, D.
  9. Goettsch, W.
  10. Gutierrez Ibarluzea, I.
  11. Hren, R.
  12. Knies, S.
  13. Lorenzovici, L.
  14. Maravic, Z.
  15. Piniazhko, O.
  16. Savova, A.
  17. Manova, M.
  18. Tesar, T.
  19. Zerovnik, S.
  20. Kaló, Z.
Journal:
Frontiers in Public Health

ISSN: 2296-2565

Year of publication: 2023

Volume: 11

Type: Article

DOI: 10.3389/FPUBH.2023.1088121 GOOGLE SCHOLAR lock_openOpen access editor
Data source: Scopus