Surgical data science for next-generation interventions.
Lena Maier-Hein,Swaroop Vedula,Stefanie Speidel,Nassir Navab,Nassir Navab,Ron Kikinis,Ron Kikinis,Adrian Park,Matthias Eisenmann,Hubertus Feussner,Germain Forestier,Stamatia Giannarou,Makoto Hashizume,Darko Katic,Hannes Kenngott,Michael Kranzfelder,Anand Malpani,Keno März,Thomas Neumuth,Nicolas Padoy,Carla M. Pugh,Nicolai Schoch,Danail Stoyanov,Russell H. Taylor,Martin Wagner,Gregory D. Hager,Pierre Jannin,Pierre Jannin +27 more
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TLDR
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.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.read more
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Gesture Recognition in Robotic Surgery: A Review
TL;DR: In this article, the state-of-the-art in methods for automatic recognition of fine-grained gestures in robotic surgery focusing on recent data-driven approaches and outlines the open questions and future research directions.
Journal ArticleDOI
Toward a standard ontology of surgical process models
Bernard Gibaud,Germain Forestier,Carolin Feldmann,Giancarlo Ferrigno,Paulo J. S. Gonçalves,Tamas Haidegger,Chantal Julliard,Darko Katic,Hannes Kenngott,Lena Maier-Hein,Keno März,Elena De Momi,Dénes Ákos Nagy,Hirenkumar Nakawala,Juliane Neumann,Thomas Neumuth,Javier Rojas Balderrama,Stefanie Speidel,Martin Wagner,Pierre Jannin +19 more
TL;DR: The OntoSPM Collaborative Action has been in operation for 24 months and its main result is a modular ontology, undergoing constant updates and extensions, based on the experts’ suggestions, making it ready for wider public use.
Journal ArticleDOI
Uncertainty-Aware Organ Classification for Surgical Data Science Applications in Laparoscopy
Sara Moccia,Sebastian J. Wirkert,Hannes Kenngott,Anant Vemuri,Martin Apitz,Benjamin F. B. Mayer,Elena De Momi,Leonardo S. Mattos,Lena Maier-Hein +8 more
TL;DR: This paper significantly enhances the state of art in automatic labeling of endoscopic videos by introducing the use of the confidence metric, and by being the first study to use MI data for in vivo laparoscopic tissue classification.
Journal ArticleDOI
CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer Assisted Interventions
TL;DR: In this paper, the authors highlight the crucial need to take context and human factors into account in order to address these challenges, and propose Contextual Artificial Intelligence for Computer-Aided Interventions (CAI4CAI).
Journal ArticleDOI
Surgical motion analysis using discriminative interpretable patterns.
Germain Forestier,Germain Forestier,François Petitjean,Pavel Senin,Fabien Despinoy,Arnaud Huaulmé,Hassan Ismail Fawaz,Jonathan Weber,Lhassane Idoumghar,Pierre-Alain Muller,Pierre Jannin +10 more
TL;DR: The proposed approach for the discovery and ranking of discriminative and interpretable patterns of surgical practice from recordings of surgical motions is an interesting addition to existing learning tools for surgery as it provides a feedback on which parts of an exercise have been used to classify the attempt as correct or incorrect.
References
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Olga Russakovsky,Jia Deng,Hao Su,Jonathan Krause,Sanjeev Satheesh,Sean Ma,Zhiheng Huang,Andrej Karpathy,Aditya Khosla,Michael S. Bernstein,Alexander C. Berg,Li Fei-Fei +11 more
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An estimation of the global volume of surgery: a modelling strategy based on available data
Thomas G. Weiser,Thomas G. Weiser,Scott E. Regenbogen,Katherine D. Thompson,Alex B. Haynes,Stuart R. Lipsitz,William R. Berry,Atul A. Gawande,Atul A. Gawande +8 more
TL;DR: In view of the high death and complication rates of major surgical procedures, surgical safety should now be a substantial global public-health concern.