Corpus ID: 47006950

Surgical Data Science: A Consensus Perspective

@article{MaierHein2018SurgicalDS,
  title={Surgical Data Science: A Consensus Perspective},
  author={L. Maier-Hein and M. Eisenmann and C. Feldmann and H. Feu{\ss}ner and G. Forestier and S. Giannarou and Bernard Gibaud and Gregory Hager and M. Hashizume and D. Katic and H. Kenngott and R. Kikinis and M. Kranzfelder and A. Malpani and K. M{\"a}rz and B. M{\"u}ller-Stich and N. Navab and T. Neumuth and Nicolas Padoy and A. Park and C. Pugh and Nicolai Schoch and D. Stoyanov and R. Taylor and M. Wagner and S. Vedula and P. Jannin and S. Speidel},
  journal={ArXiv},
  year={2018},
  volume={abs/1806.03184}
}
  • L. Maier-Hein, M. Eisenmann, +25 authors S. Speidel
  • Published 2018
  • Computer Science
  • ArXiv
  • Surgical data science is a scientific discipline with the objective of improving the quality of interventional healthcare and its value through capturing, organization, analysis, and modeling of data. The goal of the 1st workshop on Surgical Data Science was to bring together researchers working on diverse topics in surgical data science in order to discuss existing challenges, potential standards and new research directions in the field. Inspired by current open space and think tank formats… CONTINUE READING

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