Surgical data science

Gregory D. Hager; Lena Maier-Hein; S. Swaroop Vedula

doi:10.1016/B978-0-12-816176-0.00043-0

Surgical data science

Gregory D. Hager, Lena Maier-Hein, S. Swaroop Vedula

Whiting School of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter

1 Scopus citations

Abstract

Surgical Data Science (SDS) is an emerging scientific field that focuses on the acquisition, modeling, and analysis of data in order to improve the quality of interventional healthcare. It encompasses clinical disciplines which involve interventions to manipulate anatomical structures with a diagnostic, therapeutic, or prognostic goal. This chapter introduces the concept of SDS in detail, provides a brief review of the technical and clinical state-of-the-art in the field, and discusses key technical challenges to move the field forward.

Original language	English (US)
Title of host publication	Handbook of Medical Image Computing and Computer Assisted Intervention
Publisher	Elsevier
Pages	931-952
Number of pages	22
ISBN (Electronic)	9780128161760
DOIs	https://doi.org/10.1016/B978-0-12-816176-0.00043-0
State	Published - Jan 1 2019

Keywords

Surgical care pathway
Surgical data science
Surgical decision support
Surgical outcomes
Surgical skill
Surgical workflow

ASJC Scopus subject areas

Computer Science(all)

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10.1016/B978-0-12-816176-0.00043-0

Cite this

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keywords = "Surgical care pathway, Surgical data science, Surgical decision support, Surgical outcomes, Surgical skill, Surgical workflow",

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KW - Surgical outcomes

KW - Surgical skill

KW - Surgical workflow

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BT - Handbook of Medical Image Computing and Computer Assisted Intervention

PB - Elsevier

ER -

Surgical data science

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

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