White Paper

The first article resulting from the Surgical Data Science workshop 2016 is published in Nature Biomedical Engineering: https://rdcu.be/K0ng

It provides a consensus definition for Surgical Data Science, identifies associated challenges and opportunities and provides a roadmap for advancing the field.

The article can be cited with the DOI 10.1038/s41551-017-0132-7 as follows:

Lena Maier-Hein, Swaroop S. Vedula, Stefanie Speidel, Nassir Navab, Ron Kikinis, Adrian Park, Matthias Eisenmann, Hubertus Feussner, Germain Forestier, Stamatia Giannarou, Makoto Hashizume, Darko Katic, Hannes Kenngott, Michael Kranzfelder, Anand Malpani, Keno März, Thomas Neumuth, Nicolas Padoy, Carla Pugh, Nicolai Schoch, Danail Stoyanov, Russell Taylor, Martin Wagner, Gregory D. Hager and Pierre Jannin. Surgical data science for next-generation interventions. Nature Biomedical Engineering 1(9), 691 (2017). DOI 10.1038/s41551-017-0132-7


  author = {Maier-Hein, Lena and Vedula, Swaroop S. and Speidel, Stefanie and Navab, Nassir and Kikinis, Ron and Park, Adrian and Eisenmann, Matthias and Feussner, Hubertus and Forestier, Germain and Giannarou, Stamatia and Hashizume, Makoto and Katic, Darko and Kenngott, Hannes and Kranzfelder, Michael and Malpani, Anand and März, Keno and Neumuth, Thomas and Padoy, Nicolas and Pugh, Carla and Schoch, Nicolai and Stoyanov, Danail and Taylor, Russell and Wagner, Martin and Hager, Gregory D. and Jannin, Pierre},
  year = {2017},
  title = {Surgical data science for next-generation interventions},
  journal = {Nature Biomedical Engineering},
  publisher = {Nature Publishing Group},
  issn = {2157-846X},
  doi = {10.1038/s41551-017-0132-7},
  volume = {1},
  month = {9},
  pages = {691},
  number = {9},
  url = {http:https://doi.org/10.1038/s41551-017-0132-7},
  abstract = {Interventional healthcare will evolve from an artisanal craft based on the individual experiences, preferences and traditions of physicians into a discipline that relies on objective decision-making on the basis of large-scale data from heterogeneous sources.}


An extended long version of the paper is now also available: https://arxiv.org/abs/1806.03184