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

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

BackgroundArtificial 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 re...

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Bibliographic Details
Main Authors: Antal Zemplényi, Konstantin Tachkov, Laszlo Balkanyi, Bertalan Németh, Zsuzsanna Ida Petykó, Guenka Petrova, Marcin Czech, Dalia Dawoud, Wim Goettsch, Inaki Gutierrez Ibarluzea, Rok Hren, Saskia Knies, László Lorenzovici, Zorana Maravic, Oresta Piniazhko, Alexandra Savova, Manoela Manova, Tomas Tesar, Spela Zerovnik, Zoltán Kaló
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-04-01
Series:Frontiers in Public Health
Subjects:
artificial intelligence—AI
machine learning
health technology assessment
evidence generation
Central and Eastern Europe
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2023.1088121/full

Internet

https://www.frontiersin.org/articles/10.3389/fpubh.2023.1088121/full

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