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Title:

AI for Doctors-A Course to Educate Medical Professionals in Artificial Intelligence for Medical Imaging.

Document type:
Journal Article
Author(s):
Hedderich, Dennis M; Keicher, Matthias; Wiestler, Benedikt; Gruber, Martin J; Burwinkel, Hendrik; Hinterwimmer, Florian; Czempiel, Tobias; Spiro, Judith E; Pinto Dos Santos, Daniel; Heim, Dominik; Zimmer, Claus; Rückert, Daniel; Kirschke, Jan S; Navab, Nassir
Abstract:
Successful adoption of artificial intelligence (AI) in medical imaging requires medical professionals to understand underlying principles and techniques. However, educational offerings tailored to the need of medical professionals are scarce. To fill this gap, we created the course "AI for Doctors: Medical Imaging". An analysis of participants' opinions on AI and self-perceived skills rated on a five-point Likert scale was conducted before and after the course. The participants' attitude towards...     »
Journal title abbreviation:
Healthcare (Basel)
Year:
2021
Journal volume:
9
Journal issue:
10
Fulltext / DOI:
doi:10.3390/healthcare9101278
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/34682958
Print-ISSN:
2227-9032
TUM Institution:
595; Fachgebiet Neuroradiologie (Prof. Zimmer)
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