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Title:

Surgomics: personalized prediction of morbidity, mortality and long-term outcome in surgery using machine learning on multimodal data

Document type:
Zeitschriftenaufsatz
Author(s):
Wagner, Martin ; Brandenburg, Johanna M. ; Bodenstedt, Sebastian ; Schulze, André ; Jenke, Alexander C. ; Stern, Antonia ; Daum, Marie T. J. ; Mündermann, Lars ; Kolbinger, Fiona R. ; Bhasker, Nithya ; Schneider, Gerd ; Krause-Jüttler, Grit ; Alwanni, Hisham ; Fritz-Kebede, Fleur ; Burgert, Oliver ; Wilhelm, Dirk ; Fallert, Johannes ; Nickel, Felix ; Maier-Hein, Lena ; Dugas, Martin ; Distler, Marius ; Weitz, Jürgen ; Müller-Stich, Beat-Peter ; Speidel, Stefanie
Keywords:
2022 EAES Oral ; Artificial intelligence ; Minimally invasive surgery ; Radiomics ; Prediction model ; Surgical data science ; Precision medicine ; Information and Computing Sciences ; Medical and Health Sciences
Journal title:
Surgical Endoscopy
Year:
2022
Journal volume:
36
Journal issue:
11
Pages contribution:
8568-8591
Fulltext / DOI:
doi:10.1007/s00464-022-09611-1
Publisher:
Springer US
E-ISSN:
0930-2794 ; 1432-2218
Date of publication:
28.09.2022
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