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

• Main Authors: Antal Zemplényi (Author), Konstantin Tachkov (Author), Laszlo Balkanyi (Author), Bertalan Németh (Author), Zsuzsanna Ida Petykó (Author), Guenka Petrova (Author), Marcin Czech (Author), Dalia Dawoud (Author), Wim Goettsch (Author), Inaki Gutierrez Ibarluzea (Author), Rok Hren (Author), Saskia Knies (Author), László Lorenzovici (Author), Zorana Maravic (Author), Oresta Piniazhko (Author), Alexandra Savova (Author), Manoela Manova (Author), Tomas Tesar (Author), Spela Zerovnik (Author), Zoltán Kaló (Author)
• 格式: 图书
• 出版: Frontiers Media S.A., 2023-04-01T00:00:00Z.
• 主题: article
• 在线阅读: Connect to this object online.

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...