Surgical data science for next-generation interventions

Surgical data science for next-generation interventions. Maier-Hein, L., Vedula, S., Speidel, S., Navab, N., Kikinis, R., Park, A., Eisenmann, M., Feussner, H., Forestier, G., Giannarou, S., Hashizume, M., Katić, D., Kenngott, H., Kranzfelder, M., Malpani, A., März, K., Neumuth, T., Padoy, N., Pugh, C., & Jannin, P. Nature Biomedical Engineering, September, 2017.
doi abstract bibtex

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.

@article{maier-hein_surgical_2017,
	title = {Surgical data science for next-generation interventions},
	volume = {1},
	doi = {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.},
	journal = {Nature Biomedical Engineering},
	author = {Maier-Hein, Lena and Vedula, Swaroop 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 Katić, Darko and Kenngott, Hannes and Kranzfelder, Michael and Malpani, Anand and März, Keno and Neumuth, Thomas and Padoy, Nicolas and Pugh, Carla and Jannin, Pierre},
	month = sep,
	year = {2017},
}

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