Surgomics: personalized prediction of morbidity, mortality and long-term outcome in surgery using machine learning on multimodal data.
Wagner M, Brandenburg JM, Bodenstedt S, Schulze A, Jenke AC, Stern A, Daum MTJ, Mündermann L, Kolbinger FR, Bhasker N, Schneider G, Krause-Jüttler G, Alwanni H, Fritz-Kebede F, Burgert O, Wilhelm D, Fallert J, Nickel F, Maier-Hein L, Dugas M, Distler M, Weitz J, Müller-Stich BP, Speidel S.
Wagner M, et al. Among authors: jenke ac.
Surg Endosc. 2022 Nov;36(11):8568-8591. doi: 10.1007/s00464-022-09611-1. Epub 2022 Sep 28.
Surg Endosc. 2022.
PMID: 36171451
Free PMC article.
Based on the expert survey (n = 66 participants) the feature category with the highest clinical relevance as rated by surgeons was "surgical skill and quality of performance" for morbidity and mortality (9.0 1.3 on a numerical rating scale from 1 to 10) as well as for long-ter …
Based on the expert survey (n = 66 participants) the feature category with the highest clinical relevance as rated by surgeons was "surgical …