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
Citations
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A systematic review on artificial intelligence in robot-assisted surgery.
Andrea Moglia,Konstantinos Georgiou,Evangelos Georgiou,Richard M. Satava,Alfred Cuschieri,Alfred Cuschieri +5 more
TL;DR: In this article, a literature search was conducted on PubMed, Web of Science, Scopus, and IEEExplore according to PRISMA 2020 statement to identify and discuss current limitations and challenges.
Journal ArticleDOI
Computer-assisted liver graft steatosis assessment via learning-based texture analysis
Sara Moccia,Leonardo S. Mattos,Ilaria Patrini,Michela Ruperti,Nicolas Poté,Federica Dondero,François Cauchy,Ailton Sepulveda,Olivier Soubrane,Elena De Momi,Alberto Diaspro,Manuela Cesaretti +11 more
TL;DR: This research represents the first attempt to use machine learning and automatic texture analysis of RGB images from ubiquitous smartphone cameras for the task of graft HS assessment and suggests that is a promising strategy to develop a fully automatic solution to assist surgeons in HS assessment inside the OR.
Journal ArticleDOI
A Review on Advances in Intra-operative Imaging for Surgery and Therapy: Imagining the Operating Room of the Future
TL;DR: The advancements in both classical and more recent intra-operative imaging modalities are reviewed, focusing on benefits and disadvantages in terms of compatibility with the operating room, costs, acquisition time and image characteristics.
Journal ArticleDOI
Automatic and near real-time stylistic behavior assessment in robotic surgery
TL;DR: The results indicate that the proposed dictionary learning method is able to assess stylistic behavior performance in near real time using user joint position data with improved accuracy compared to using PCA features or raw data.
Proceedings ArticleDOI
Multi-Task Recurrent Neural Network for Surgical Gesture Recognition and Progress Prediction
TL;DR: This work proposes a multi-task recurrent neural network for simultaneous recognition of surgical gestures and estimation of a novel formulation of surgical task progress that improves in multi- task frameworks with progress estimation without any additional manual labelling and training.
References
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M Ashburner,Catherine A. Ball,Judith A. Blake,David Botstein,Heather Butler,J. M. Cherry,Allan Peter Davis,Kara Dolinski,Selina S. Dwight,J.T. Eppig,Midori A. Harris,David P. Hill,Laurie Issel-Tarver,Andrew Kasarskis,Suzanna E. Lewis,John C. Matese,Joel E. Richardson,M. Ringwald,Gerald M. Rubin,Gavin Sherlock +19 more
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ImageNet Large Scale Visual Recognition Challenge
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
TL;DR: The ImageNet Large Scale Visual Recognition Challenge (ILSVRC) as mentioned in this paper is a benchmark in object category classification and detection on hundreds of object categories and millions of images, which has been run annually from 2010 to present, attracting participation from more than fifty institutions.
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Machine learning: Trends, perspectives, and prospects
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Deep Learning in Medical Image Analysis
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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.