White Paper

The first paper resulting from the Surgical Data Science workshop 2016 is now online: https://arxiv.org/abs/1701.06482

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 arXiv:1701.06482 as follows.

Lena Maier-Hein, Swaroop 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: Enabling next-generation surgery, arXiv:1701.06482, 2017.


Author = {Lena Maier-Hein and Swaroop Vedula and Stefanie Speidel and Nassir Navab and Ron Kikinis and Adrian Park and Matthias Eisenmann and Hubertus Feussner and Germain Forestier and Stamatia Giannarou and Makoto Hashizume and Darko Katic and Hannes Kenngott and Michael Kranzfelder and Anand Malpani and Keno März and Thomas Neumuth and Nicolas Padoy and Carla Pugh and Nicolai Schoch and Danail Stoyanov and Russell Taylor and Martin Wagner and Gregory D. Hager and Pierre Jannin},
Title = {Surgical Data Science: Enabling Next-Generation Surgery},
Year = {2017},
Eprint = {arXiv:1701.06482},


The international board of the Surgical Data Science initiative is currently working on a long review paper to complement the short position paper with more information.