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

• 主要な著者: Antal Zemplényi (著者), Konstantin Tachkov (著者), Laszlo Balkanyi (著者), Bertalan Németh (著者), Zsuzsanna Ida Petykó (著者), Guenka Petrova (著者), Marcin Czech (著者), Dalia Dawoud (著者), Wim Goettsch (著者), Inaki Gutierrez Ibarluzea (著者), Rok Hren (著者), Saskia Knies (著者), László Lorenzovici (著者), Zorana Maravic (著者), Oresta Piniazhko (著者), Alexandra Savova (著者), Manoela Manova (著者), Tomas Tesar (著者), Spela Zerovnik (著者), Zoltán Kaló (著者)
• フォーマット: 図書
• 出版事項: Frontiers Media S.A., 2023-04-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: 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...