4.6 Editorial Material

Surgical data science for next-generation interventions

Journal

NATURE BIOMEDICAL ENGINEERING
Volume 1, Issue 9, Pages 691-696

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/s41551-017-0132-7

Keywords

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Funding

  1. German Research Foundation (DFG) [(SFB/TRR) 125]
  2. European Research Council [ERC-2015-StG-37960]
  3. US National Institutes of Health [NIH-R01EB01152407S1, NIH/NIBIB P41 EB015902, NIH/NCI U24CA180918, NIH/NIBIB P41 EB015898, NIH/NIBIB R01EB014955, NIH R01-DE025265]
  4. US Department of Defense [DOD-W81XWH-13-1-0080]
  5. Royal Society [UF140290]
  6. Link Foundation Fellowship in Advanced Simulation and Training
  7. Grants-in-Aid for Scientific Research [15K21716, 26108010, 26108001] Funding Source: KAKEN
  8. EPSRC [EP/R004080/1, EP/P012841/1, EP/M020533/1] Funding Source: UKRI

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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.

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