Surgical data science – from concepts toward clinical translation
German Cancer Research Center · Heidelberg University · +32 more institutions
Abstract
Recent developments in data science in general and machine learning in particular have transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a new research field that aims to improve the quality of interventional healthcare through the capture, organization, analysis and modeling of data. While an increasing number of data-driven approaches and clinical applications have been studied in the fields of radiological and clinical data science, translational success stories are still lacking in surgery. In this publication, we shed light on the underlying reasons and provide a roadmap for future advances in the field. Based on an international workshop involving leading…
Citation impact
- FWCI
- 17.72
- Percentile
- 100%
- References
- 332
Authors
51- LMLena Maier‐HeinCorresponding
German Cancer Research Center, Heidelberg University
- MEMatthias Eisenmann
German Cancer Research Center, Heidelberg University
- DSDuygu Sarıkaya
Laboratoire Traitement du Signal et de l'Image, Gazi University
- KMKeno März
German Cancer Research Center, Heidelberg University
- TCToby Collins
Institut de Recherche contre les Cancers de l’Appareil Digestif
Topics & keywords
- Data science
- Computer science
- Translational research
- Field (mathematics)
- Data sharing
- Translational science
- Analytics
- Management science
- Industry, innovation and infrastructure
Funding
- WTWellcome Trust
- RSRoyal Society
- DFDeutsche Forschungsgemeinschaft
- ANAgence Nationale de la Recherche
- BFBundesministerium für Forschung und Technologie
- BFBundesministerium für Wirtschaft und Energie
- NINational Institutes of Health
- HEHORIZON EUROPE Framework Programme
- EAEngineering and Physical Sciences Research Council
- NCNational Cancer Institute
- HEH2020 European Research Council