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Recommendations to overcome barriers to the use of artificial intelligence-driven evidence in health technology assessment.
Zemplényi A, Tachkov K, Balkanyi L, Németh B, Petykó ZI, Petrova G, Czech M, Dawoud D, Goettsch W, Gutierrez Ibarluzea I, Hren R, Knies S, Lorenzovici L, Maravic Z, Piniazhko O, Savova A, Manova M, Tesar T, Zerovnik S, Kaló Z. Zemplényi A, et al. Front Public Health. 2023 Apr 26;11:1088121. doi: 10.3389/fpubh.2023.1088121. eCollection 2023. Front Public Health. 2023. PMID: 37181704 Free PMC article.
Recommendations for patient involvement in health technology assessment in Central and Eastern European countries.
Jakab I, Dimitrova M, Houÿez F, Bereczky T, Fövényes M, Maravic Z, Belina I, Andriciuc C, Tóth K, Piniazhko O, Hren R, Gutierrez-Ibarluzea I, Czech M, Tesar T, Niewada M, Lorenzovici L, Kamusheva M, Manova M, Savova A, Mitkova Z, Tachkov K, Németh B, Petykó ZI, Dawoud D, Delnoij D, Knies S, Goettsch W, Kaló Z. Jakab I, et al. Front Public Health. 2023 Jul 3;11:1176200. doi: 10.3389/fpubh.2023.1176200. eCollection 2023. Front Public Health. 2023. PMID: 37465169 Free PMC article.
A literature review of quality assessment and applicability to HTA of risk prediction models of coronary heart disease in patients with diabetes.
Jiu L, Wang J, Javier Somolinos-Simón F, Tapia-Galisteo J, García-Sáez G, Hernando M, Li X, Vreman RA, Mantel-Teeuwisse AK, Goettsch WG. Jiu L, et al. Among authors: goettsch wg. Diabetes Res Clin Pract. 2024 Mar;209:111574. doi: 10.1016/j.diabres.2024.111574. Epub 2024 Feb 10. Diabetes Res Clin Pract. 2024. PMID: 38346592 Free article. Review.
81 results