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Toward cognitive pipelines of medical assistance algorithms

Assistance algorithms for medical tasks have great potential to support physicians with their daily work. However, medicine is also one of the most demanding domains for computer-based support systems, since medical assistance tasks are complex and the practical experience of the physician is crucia...

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Bibliographische Detailangaben
Hauptverfasser: Philipp, Patrick Raoul (VerfasserIn) , Maleshkova, Maria (VerfasserIn) , Katic, Darko (VerfasserIn) , Weber, Christian (VerfasserIn) , Götz, Michael (VerfasserIn) , Rettinger, Achim (VerfasserIn) , Speidel, Stefanie (VerfasserIn) , Kämpgen, Benedikt (VerfasserIn) , Nolden, Marco (VerfasserIn) , Wekerle, Anna-Laura (VerfasserIn) , Dillmann, Rüdiger (VerfasserIn) , Kenngott, Hannes Götz (VerfasserIn) , Müller, Beat P. (VerfasserIn) , Studer, Rudi (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 2016
In: OncoTarget
Year: 2015, Jahrgang: 11, Heft: 9, Pages: 1743-1753
ISSN:1949-2553
DOI:10.1007/s11548-015-1322-y
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1007/s11548-015-1322-y
Verlag, lizenzpflichtig, Volltext: https://link.springer.com/article/10.1007%2Fs11548-015-1322-y
Volltext
Verfasserangaben:Patrick Philipp · Maria Maleshkova · Darko Katic · Christian Weber · Michael Götz · Achim Rettinger · Stefanie Speidel · Benedikt Kämpgen · Marco Nolden · Anna-Laura Wekerle · Rüdiger Dillmann · Hannes Kenngott · Beat Müller · Rudi Studer
Beschreibung
Zusammenfassung:Assistance algorithms for medical tasks have great potential to support physicians with their daily work. However, medicine is also one of the most demanding domains for computer-based support systems, since medical assistance tasks are complex and the practical experience of the physician is crucial. Recent developments in the area of cognitive computing appear to be well suited to tackle medicine as an application domain.
Beschreibung:Published online: 8 December 2015
Gesehen am 06.07.2020
Beschreibung:Online Resource
ISSN:1949-2553
DOI:10.1007/s11548-015-1322-y

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