Semantic Scholar Open Access 2020 293 sitasi

Surgical data science – from concepts toward clinical translation

L. Maier-Hein M. Eisenmann Duygu Sarikaya Keno Marz T. Collins +45 lainnya

Lihat Sumber DOI

Abstrak

Recent developments in data science in general and machine learning in particular have transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a new research field that aims to improve the quality of interventional healthcare through the capture, organization, analysis and modeling of data. While an increasing number of data-driven approaches and clinical applications have been studied in the fields of radiological and clinical data science, translational success stories are still lacking in surgery. In this publication, we shed light on the underlying reasons and provide a roadmap for future advances in the field. Based on an international workshop involving leading researchers in the field of SDS, we review current practice, key achievements and initiatives as well as available standards and tools for a number of topics relevant to the field, namely (1) infrastructure for data acquisition, storage and access in the presence of regulatory constraints, (2) data annotation and sharing and (3) data analytics. We further complement this technical perspective with (4) a review of currently available SDS products and the translational progress from academia and (5) a roadmap for faster clinical translation and exploitation of the full potential of SDS, based on an international multi-round Delphi process.

Topik & Kata Kunci

Computer Science Engineering Medicine

Penulis (50)

L. Maier-Hein

M. Eisenmann

Duygu Sarikaya

Keno Marz

T. Collins

Anand Malpani

J. Fallert

H. Feußner

S. Giannarou

P. Mascagni

H. Nakawala

A. Park

Carla M. Pugh

D. Stoyanov

S. Vedula

Kevin Cleary

G. Fichtinger

G. Forestier

B. Gibaud

T. Grantcharov

M. Hashizume

Doreen Heckmann-Notzel

H. Kenngott

R. Kikinis

Lars Mundermann

Nassir Navab

Sinan Onogur

R. Sznitman

Russell H. Taylor

M. Tizabi

M. Wagner

Gregory Hager

T. Neumuth

N. Padoy

J. Collins

I. Gockel

Jan Goedeke

D. Hashimoto

Luc Joyeux

Kyle Lam

D. Leff

A. Madani

H. Marcus

O. Meireles

A. Seitel

D. Teber

F. Uckert

B. P. Muller-Stich

P. Jannin

S. Speidel

Format Sitasi

APA MLA BibTeX

Maier-Hein, L., Eisenmann, M., Sarikaya, D., Marz, K., Collins, T., Malpani, A. et al. (2020). Surgical data science – from concepts toward clinical translation. https://doi.org/10.1016/j.media.2021.102306

Akses Cepat

Lihat di Sumber doi.org/10.1016/j.media.2021.102306

Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Total Sitasi: 293×
Sumber Database: Semantic Scholar
DOI: 10.1016/j.media.2021.102306
Akses: Open Access ✓