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Table_1_Artificial Intelligence in Medicine: A Multinationa..:
Sotirios Bisdas
;
Constantin-Cristian Topriceanu
;
Zosia Zakrzewska
...
doi:10.3389/fpubh.2021.795284.s001. , 2021
Link:
https://doi.org/10.3389/fpubh.2021.795284.s001
RT Journal T1
Table_1_Artificial Intelligence in Medicine: A Multinational Multi-Center Survey on the Medical and Dental Students' Perception.pdf
UL https://suche.suub.uni-bremen.de/peid=base-ftfrontimediafig:oai:figshare.com:article_17469725&Exemplar=1&LAN=DE A1 Sotirios Bisdas A1 Constantin-Cristian Topriceanu A1 Zosia Zakrzewska A1 Alexandra-Valentina Irimia A1 Loizos Shakallis A1 Jithu Subhash A1 Maria-Madalina Casapu A1 Jose Leon-Rojas A1 Daniel Pinto dos Santos A1 Dilys Miriam Andrews A1 Claudia Zeicu A1 Ahmad Mohammad Bouhuwaish A1 Avinindita Nura Lestari A1 Lua'i Abu-Ismail A1 Arsal Subbah Sadiq A1 Almu'atasim Khamees A1 Khaled M. G. Mohammed A1 Estelle Williams A1 Aya Ibrahim Omran A1 Dima Y. Abu Ismail A1 Esraa Hasan Ebrahim YR 2021 K1 Mental Health Nursing K1 Midwifery K1 Nursing not elsewhere classified K1 Aboriginal and Torres Strait Islander Health K1 Aged Health Care K1 Care for Disabled K1 Community Child Health K1 Environmental and Occupational Health and Safety K1 Epidemiology K1 Family Care K1 Health and Community Services K1 Health Care Administration K1 Health Counselling K1 Health Information Systems (incl. Surveillance) K1 Health Promotion K1 Preventive Medicine K1 Primary Health Care K1 Public Health and Health Services not elsewhere classified K1 Nanotoxicology K1 Health and Safety K1 Medicine K1 Nursing and Health Curriculum and Pedagogy K1 artificial intelligence K1 dental students K1 medical students K1 survey JF doi:10.3389/fpubh.2021.795284.s001 LK http://dx.doi.org/https://doi.org/10.3389/fpubh.2021.795284.s001 DO https://doi.org/10.3389/fpubh.2021.795284.s001 SF ELIB - SuUB Bremen
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