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.
Revue:
Frontiers in Public Health

ISSN: 2296-2565

Année de publication: 2023

Volumen: 11

Type: Article

DOI: 10.3389/FPUBH.2023.1088121 GOOGLE SCHOLAR lock_openAccès ouvert editor
La source de données: Scopus