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Recommendations to overcome barriers to the use of artificial intelligence-driven evidence in health technology assessment
2023
35 citations
Journal Article
gold Open Access
Field-Weighted Citation Impact:
20.34
Recommendations to overcome barriers to the use of artificial intelligence-driven evidence in health technology assessment | Researchclopedia
Dalia Dawoud
·
Cairo University
Wim Goettsch
·
Utrecht University
Iñaki Gutiérrez‐Ibarluzea
·
Bioef - Fundación Vasca de Innovación e Investigación Sanitarias
Rok Hren
·
University of Ljubljana
Saskia Knies
·
Zorginstituut Nederland
László Lorenzovici
·
Universitatea de Medicină, Farmacie, Științe și Tehnologie „George Emil Palade” din Târgu Mureș
Zorana Maravic
·
European Organisation for Research and Treatment of Cancer
O Piniazhko
·
Ministry of Health
Alexandra Savova
·
National Center of Infectious and Parasitic Diseases
Manoela Manova
·
National Center of Infectious and Parasitic Diseases
Tomáš Tesař
·
Comenius University Bratislava
Spela Zerovnik
·
Ministry of Health
Zoltán Kaló
·
Syreon Research Institute (Hungary)