Related references
Note: Only part of the references are listed.Artificial Intelligence and the Future of Surgical Robotics
Sandip Panesar et al.
ANNALS OF SURGERY (2019)
Sensor-based machine learning for workflow detection and as key to detect expert level in laparoscopic suturing and knot-tying
Karl-Friedrich Kowalewski et al.
SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES (2019)
Active learning using deep Bayesian networks for surgical workflow analysis
Sebastian Bodenstedt et al.
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY (2019)
Computer Vision Analysis of Intraoperative Video Automated Recognition of Operative Steps in Laparoscopic Sleeve Gastrectomy
Daniel A. Hashimoto et al.
ANNALS OF SURGERY (2019)
Explainable Artificial Intelligence for Safe Intraoperative Decision Support
Lauren Gordon et al.
JAMA SURGERY (2019)
Surgical procedural map scoring for decision-making in laparoscopic cholecystectomy
Daniel A. Hashimoto et al.
AMERICAN JOURNAL OF SURGERY (2019)
Surgical Phase Recognition of Short Video Shots based on Temporal Modeling of Deep Features
Constantinos Loukas
BIOIMAGING: PROCEEDINGS OF THE 12TH INTERNATIONAL JOINT CONFERENCE ON BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES, VOL 2 (2019)
Artificial Intelligence in Surgery: Promises and Perils
Daniel A. Hashimoto et al.
ANNALS OF SURGERY (2018)
SV-RCNet: Workflow Recognition From Surgical Videos Using Recurrent Convolutional Network
Yueming Jin et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2018)
Automated Performance Metrics and Machine Learning Algorithms to Measure Surgeon Performance and Anticipate Clinical Outcomes in Robotic Surgery
Andrew J. Hung et al.
JAMA SURGERY (2018)
Deep Learning-A Technology With the Potential to Transform Health Care
Geoffrey Hinton
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2018)
Clinical Implications and Challenges of Artificial Intelligence and Deep Learning
William W. Stead
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2018)
Viewpoint matters: objective performance metrics for surgeon endoscope control during robot-assisted surgery
Anthony. M. Jarc et al.
SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES (2017)
Development and validation of a sensor- and expert model-based training system for laparoscopic surgery: the iSurgeon
Karl-Friedrich Kowalewski et al.
SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES (2017)
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos
Andru P. Twinanda et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2017)
Artificial Intelligence for Intraoperative Video Analysis: Machine Learning's Role in Surgical Education
Daniel A. Hashimoto et al.
JOURNAL OF THE AMERICAN COLLEGE OF SURGEONS (2017)
Dermatologist-level classification of skin cancer with deep neural networks
Andre Esteva et al.
NATURE (2017)
Surgical data science for next-generation interventions
Lena Maier-Hein et al.
NATURE BIOMEDICAL ENGINEERING (2017)
Surgical robotics beyond enhanced dexterity instrumentation: a survey of machine learning techniques and their role in intelligent and autonomous surgical actions
Yohannes Kassahun et al.
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY (2016)
Web-video-mining-supported workflow modeling for laparoscopic surgeries
Rui Liu et al.
ARTIFICIAL INTELLIGENCE IN MEDICINE (2016)
Intelligent operating room suite. From passive medical devices to the self-thinking cognitive surgical assistant
H. G. Kenngott et al.
CHIRURG (2016)
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
Varun Gulshan et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2016)
Predicting the Future - Big Data, Machine Learning, and Clinical Medicine
Ziad Obermeyer et al.
NEW ENGLAND JOURNAL OF MEDICINE (2016)
Supervised autonomous robotic soft tissue surgery
Azad Shademan et al.
SCIENCE TRANSLATIONAL MEDICINE (2016)
Automatic data-driven real-time segmentation and recognition of surgical workflow
Olga Dergachyova et al.
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY (2016)
LapOntoSPM: an ontology for laparoscopic surgeries and its application to surgical phase recognition
Darko Katic et al.
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY (2015)
Real-time image guidance in laparoscopic liver surgery: first clinical experience with a guidance system based on intraoperative CT imaging
Hannes G. Kenngott et al.
SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES (2014)
Reliability of sensor-based real-time workflow recognition in laparoscopic cholecystectomy
Michael Kranzfelder et al.
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY (2014)
Navigation system for minimally invasive esophagectomy: experimental study in a porcine model
Felix Nickel et al.
SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES (2013)
Statistical modeling and recognition of surgical workflow
Nicolas Padoy et al.
MEDICAL IMAGE ANALYSIS (2012)
Discovery of high-level tasks in the operating room
L. Bouarfa et al.
JOURNAL OF BIOMEDICAL INFORMATICS (2011)
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
David Moher et al.
ANNALS OF INTERNAL MEDICINE (2009)
Artificial intelligence techniques for photovoltaic applications: A review
Adel Mellit et al.
PROGRESS IN ENERGY AND COMBUSTION SCIENCE (2008)
Automatic feature generation in endoscopic images
Ulrich Klank et al.
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY (2008)
Development of AMSTAR: a measurement tool to assess the methodological quality of systematic reviews
Beverley J. Shea et al.
BMC MEDICAL RESEARCH METHODOLOGY (2007)
Share Paper
