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Attitudes towards medical artificial intelligence talent cultivation: an online survey study
Author(s) -
Dongyuan Yun,
Yifan Xiang,
Zhenzhen Liu,
Duoru Lin,
Lanqin Zhao,
Chong Guo,
Peichen Xie,
Haotian Lin,
Yizhi Liu,
Yuxian Zou,
Xiaohang Wu
Publication year - 2020
Publication title -
annals of translational medicine
Language(s) - English
Resource type - Journals
eISSN - 2305-5847
pISSN - 2305-5839
DOI - 10.21037/atm.2019.12.149
Subject(s) - medical education , anonymity , perception , set (abstract data type) , psychology , health care , population , family medicine , medicine , computer science , computer security , neuroscience , economics , programming language , economic growth , environmental health
The potential role of medical AI talent cultivation is widely acknowledged by public. Medical related professions demonstrated higher level of perception and stronger willingness for medical AI educational events. Merging subjects as radiology and clinical laboratory subjects are preferred with broad talents demands and bright prospects.

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