Surgical data science for next-generation interventions
File(s)1701.06482.pdf (659.76 KB)
Accepted version
Author(s)
Type
Journal Article
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.
Date Issued
2017-09
Date Acceptance
2017-08-31
Citation
Nature Biomedical Engineering, 2017, 1 (9), pp.691-696
ISSN
2157-846X
Publisher
Nature Research
Start Page
691
End Page
696
Journal / Book Title
Nature Biomedical Engineering
Volume
1
Issue
9
Copyright Statement
© 2017 Macmillan Publishers Limited, part of Springer Nature. All rights reserved.
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000418859300007&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
DECISION-MAKING
CARDIAC-SURGERY
OPERATING-ROOM
BIG DATA
SKILL
INFORMATICS
RADIOMICS
KNOWLEDGE
ONTOLOGY
FUTURE
Publication Status
Published
OA Location
https://arxiv.org/ftp/arxiv/papers/1701/1701.06482.pdf
Date Publish Online
2017-09-12