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

BACKGROUND: Artificial intelligence (AI) has attracted much attention because of its enormous potential in healthcare, but uptake has been slow. There are substantial barriers that challenge health technology assessment (HTA) professionals to use AI-generated evidence for decision-making from large...

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Detalles Bibliográficos
Autores principales: Zemplényi, Antal, Tachkov, Konstantin, Balkanyi, Laszlo, Németh, Bertalan, Petykó, Zsuzsanna Ida, Petrova, Guenka, Czech, Marcin, Dawoud, Dalia, Goettsch, Wim, Gutierrez Ibarluzea, Inaki, Hren, Rok, Knies, Saskia, Lorenzovici, László, Maravic, Zorana, Piniazhko, Oresta, Savova, Alexandra, Manova, Manoela, Tesar, Tomas, Zerovnik, Spela, Kaló, Zoltán
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10171457/
https://www.ncbi.nlm.nih.gov/pubmed/37181704
http://dx.doi.org/10.3389/fpubh.2023.1088121

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10171457/
https://www.ncbi.nlm.nih.gov/pubmed/37181704
http://dx.doi.org/10.3389/fpubh.2023.1088121

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