{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["8(11)"],"submitter":["Yun D"],"pubmed_abstract":["<h4>Background</h4>To investigate the attitude and formal suggestions on talent cultivation in the field of medical artificial intelligence (AI).<h4>Methods</h4>An electronic questionnaire was sent to both medical-related field or non-medical field population using the WenJuanXing web-application via social media. The questionnaire was designed to collect: (I) demographic information; (II) perception of medical AI; (III) willingness to participate in the medical AI related teaching activities; (IV) teaching content of medical AI; (V) the role of medical AI teaching; (VI) future career planning. Respondents' anonymity was ensured.<h4>Results</h4>A total of 710 respondents provided valid answers to the questionnaire (57.75% medical related, 42.25% non-medical). About 73.8% of respondents acq"],"journal":["Annals of translational medicine"],"pagination":["708"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC7327345"],"repository":["biostudies-literature"],"pubmed_title":["Attitudes towards medical artificial intelligence talent cultivation: an online survey study."],"pmcid":["PMC7327345"],"pubmed_authors":["Liu Y","Zou Y","Liu Z","Zhao L","Lin D","Xiang Y","Lin H","Yun D","Guo C","Xie P","Wu X"],"additional_accession":[]},"is_claimable":false,"name":"Attitudes towards medical artificial intelligence talent cultivation: an online survey study.","description":"<h4>Background</h4>To investigate the attitude and formal suggestions on talent cultivation in the field of medical artificial intelligence (AI).<h4>Methods</h4>An electronic questionnaire was sent to both medical-related field or non-medical field population using the WenJuanXing web-application via social media. The questionnaire was designed to collect: (I) demographic information; (II) perception of medical AI; (III) willingness to participate in the medical AI related teaching activities; (IV) teaching content of medical AI; (V) the role of medical AI teaching; (VI) future career planning. Respondents' anonymity was ensured.<h4>Results</h4>A total of 710 respondents provided valid answers to the questionnaire (57.75% medical related, 42.25% non-medical). About 73.8% of respondents acq","dates":{"release":"2020-01-01T00:00:00Z","publication":"2020 Jun","modification":"2025-04-20T03:13:31.21Z","creation":"2025-04-20T03:13:31.21Z"},"accession":"S-EPMC7327345","cross_references":{"pubmed":["32617328"],"doi":["10.21037/atm.2019.12.149"]}}