Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Surgical Data Science: A Consensus Perspective
9
Zitationen
28
Autoren
2018
Jahr
Abstract
Surgical data science is a scientific discipline with the objective of improving the quality of interventional healthcare and its value through capturing, organization, analysis, and modeling of data. The goal of the 1st workshop on Surgical Data Science was to bring together researchers working on diverse topics in surgical data science in order to discuss existing challenges, potential standards and new research directions in the field. Inspired by current open space and think tank formats, it was organized in June 2016 in Heidelberg. While the first day of the workshop, which was dominated by interactive sessions, was open to the public, the second day was reserved for a board meeting on which the information gathered on the public day was processed by (1) discussing remaining open issues, (2) deriving a joint definition for surgical data science and (3) proposing potential strategies for advancing the field. This document summarizes the key findings.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.197 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.047 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.410 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.410 Zit.
Autoren
- Lena Maier‐Hein
- Matthias Eisenmann
- Carolin Feldmann
- Hubertus Feußner
- Germain Forestier
- Stamatia Giannarou
- Bernard Gibaud
- Gregory D. Hager
- Makoto Hashizume
- Darko Katić
- Hannes Kenngott
- Ron Kikinis
- Michael Kranzfelder
- Anand Malpani
- Keno März
- Beat P. Müller‐Stich
- Nassir Navab
- Thomas Neumuth
- Nicolas Padoy
- Adrian Park
- Carla M. Pugh
- Nicolai Schoch
- Danail Stoyanov
- Russell H. Taylor
- Martin Wagner
- S. Swaroop Vedula
- Pierre Jannin
- Stefanie Speidel