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Surgical data science for next-generation interventions

Interventional healthcare will evolve from an artisanal craft based on the individual experiences, preferences and traditions of physicians into a discipline that relies on objective decision-making on the basis of large-scale data from heterogeneous sources.

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Bibliographic Details
Main Authors: Maier-Hein, Lena (Author) , Kenngott, Hannes Götz (Author) , Schoch, Nicolai (Author) , Wagner, Martin (Author)
Format: Article (Journal)
Language:English
Published: 12 September 2017
In: Nature biomedical engineering
Year: 2017, Volume: 1, Issue: 9, Pages: 691-696
ISSN:2157-846X
DOI:10.1038/s41551-017-0132-7
Online Access:Verlag, Volltext: http://dx.doi.org/10.1038/s41551-017-0132-7
Verlag, Volltext: https://www.nature.com/articles/s41551-017-0132-7
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Author Notes:Lena Maier-Hein, Swaroop S. Vedula, Stefanie Speidel, Nassir Navab, Ron Kikinis, Adrian Park, Matthias Eisenmann, Hubertus Feussner, Germain Forestier, Stamatia Giannarou, Makoto Hashizume, Darko Katic, Hannes Kenngott, Michael Kranzfelder, Anand Malpani, Keno März, Thomas Neumuth, Nicolas Padoy, Carla Pugh, Nicolai Schoch, Danail Stoyanov, Russell Taylor, Martin Wagner, Gregory D. Hager and Pierre Jannin
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Summary:Interventional healthcare will evolve from an artisanal craft based on the individual experiences, preferences and traditions of physicians into a discipline that relies on objective decision-making on the basis of large-scale data from heterogeneous sources.
Item Description:Gesehen am 20.08.2018
Physical Description:Online Resource
ISSN:2157-846X
DOI:10.1038/s41551-017-0132-7

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