Deep learning-enabled medical computer vision
A decade of unprecedented progress in artificial intelligence (AI) has demonstrated the
potential for many fields—including medicine—to benefit from the insights that AI techniques …
potential for many fields—including medicine—to benefit from the insights that AI techniques …
Gesture recognition in robotic surgery: a review
B van Amsterdam, MJ Clarkson… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Objective: Surgical activity recognition is a fundamental step in computer-assisted
interventions. This paper reviews the state-of-the-art in methods for automatic recognition of …
interventions. This paper reviews the state-of-the-art in methods for automatic recognition of …
Tool detection and operative skill assessment in surgical videos using region-based convolutional neural networks
Five billion people in the world lack access to quality surgical care. Surgeon skill varies
dramatically, and many surgical patients suffer complications and avoidable harm …
dramatically, and many surgical patients suffer complications and avoidable harm …
Adverse events in robotic surgery: a retrospective study of 14 years of FDA data
Background Use of robotic systems for minimally invasive surgery has rapidly increased
during the last decade. Understanding the causes of adverse events and their impact on …
during the last decade. Understanding the causes of adverse events and their impact on …
A dataset and benchmarks for segmentation and recognition of gestures in robotic surgery
Objective: State-of-the-art techniques for surgical data analysis report promising results for
automated skill assessment and action recognition. The contributions of many of these …
automated skill assessment and action recognition. The contributions of many of these …
On the safety of machine learning: Cyber-physical systems, decision sciences, and data products
KR Varshney, H Alemzadeh - Big data, 2017 - liebertpub.com
Abstract Machine learning algorithms increasingly influence our decisions and interact with
us in all parts of our daily lives. Therefore, just as we consider the safety of power plants …
us in all parts of our daily lives. Therefore, just as we consider the safety of power plants …
[图书][B] Stochastic models, information theory, and Lie groups, volume 2: Analytic methods and modern applications
GS Chirikjian - 2011 - books.google.com
The subjects of stochastic processes, information theory, and Lie groups are usually treated
separately from each other. This unique two-volume set presents these topics in a unified …
separately from each other. This unique two-volume set presents these topics in a unified …
Surgical robotics beyond enhanced dexterity instrumentation: a survey of machine learning techniques and their role in intelligent and autonomous surgical actions
Y Kassahun, B Yu, AT Tibebu, D Stoyanov… - International journal of …, 2016 - Springer
Purpose Advances in technology and computing play an increasingly important role in the
evolution of modern surgical techniques and paradigms. This article reviews the current role …
evolution of modern surgical techniques and paradigms. This article reviews the current role …
Automated robot‐assisted surgical skill evaluation: Predictive analytics approach
Background Surgical skill assessment has predominantly been a subjective task. Recently,
technological advances such as robot‐assisted surgery have created great opportunities for …
technological advances such as robot‐assisted surgery have created great opportunities for …
Technical review of the da Vinci surgical telemanipulator
Abstract Background The da Vinci robotic surgical telemanipulator has been utilized in
several surgical specialties for varied procedures, and the users' experiences have been …
several surgical specialties for varied procedures, and the users' experiences have been …