Maier-Hein, L;
Vedula, S;
Speidel, S;
Navab, N;
Kikinis, R;
Park, A;
Eisenmann, M;
... Jannin, P; + view all
(2017)
Surgical Data Science: Enabling Next-Generation Surgery.
Nature Biomedical Engineering
, 1
pp. 691-696.
10.1038/s41551-017-0132-7.
Preview |
Text
Stoyanov_1701.06482v1.pdf - Accepted Version Download (644kB) | Preview |
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.
Type: | Article |
---|---|
Title: | Surgical Data Science: Enabling Next-Generation Surgery |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1038/s41551-017-0132-7 |
Publisher version: | http://dx.doi.org/10.1038/s41551-017-0132-7 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Health care, Surgery |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/1539836 |




Archive Staff Only
![]() |
View Item |