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Title:

German medical students´ views regarding artificial intelligence in medicine: A cross-sectional survey.

Document type:
Journal Article
Author(s):
McLennan, Stuart; Meyer, Andrea; Schreyer, Korbinian; Buyx, Alena
Abstract:
BACKGROUND: Medical students will likely be most impacted by the envisaged move to artificial intelligence (AI) driven digital medicine, and there is a need to better understand their views regarding the use of AI technology in medicine. This study aimed to explore German medical students´ views about AI in medicine. METHODS: A cross-sectional survey was conducted in October 2019 with all new medical students at the Ludwig Maximilian University of Munich and the Technical University Munich. This...     »
Journal title abbreviation:
PLOS Digit Health
Year:
2022
Journal volume:
1
Journal issue:
10
Fulltext / DOI:
doi:10.1371/journal.pdig.0000114
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/36812635
TUM Institution:
Institut für Geschichte und Ethik der Medizin (Prof. Buyx); Klinik für Anästhesiologie (DHM)
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