A new era: artificial intelligence and machine learning in prostate cancer
SL Goldenberg, G Nir, SE Salcudean - Nature Reviews Urology, 2019 - nature.com
Artificial intelligence (AI)—the ability of a machine to perform cognitive tasks to achieve a
particular goal based on provided data—is revolutionizing and reshaping our health-care …
particular goal based on provided data—is revolutionizing and reshaping our health-care …
Medical robotics for ultrasound imaging: current systems and future trends
Abstract Purpose of Review This review provides an overview of the most recent robotic
ultrasound systems that have contemporary emerged over the past five years, highlighting …
ultrasound systems that have contemporary emerged over the past five years, highlighting …
Motion planning networks
Fast and efficient motion planning algorithms are crucial for many state-of-the-art robotics
applications such as self-driving cars. Existing motion planning methods become ineffective …
applications such as self-driving cars. Existing motion planning methods become ineffective …
Concepts and trends in autonomy for robot-assisted surgery
Surgical robots have been widely adopted with over 4000 robots being used in practice
daily. However, these are telerobots that are fully controlled by skilled human surgeons …
daily. However, these are telerobots that are fully controlled by skilled human surgeons …
Surrol: An open-source reinforcement learning centered and dvrk compatible platform for surgical robot learning
Autonomous surgical execution relieves tedious routines and surgeon's fatigue. Recent
learning-based methods, especially reinforcement learning (RL) based methods, achieve …
learning-based methods, especially reinforcement learning (RL) based methods, achieve …
Super: A surgical perception framework for endoscopic tissue manipulation with surgical robotics
Traditional control and task automation have been successfully demonstrated in a variety of
structured, controlled environments through the use of highly specialized modeled robotic …
structured, controlled environments through the use of highly specialized modeled robotic …
A systematic review of robotic surgery: From supervised paradigms to fully autonomous robotic approaches
Background From traditional open surgery to laparoscopic surgery and robot‐assisted
surgery, advances in robotics, machine learning, and imaging are pushing the surgical …
surgery, advances in robotics, machine learning, and imaging are pushing the surgical …
Collaborative robot-assisted endovascular catheterization with generative adversarial imitation learning
Master-slave systems for endovascular catheterization have brought major clinical benefits
including reduced radiation doses to the operators, improved precision and stability of the …
including reduced radiation doses to the operators, improved precision and stability of the …
A deep reinforcement-learning approach for inverse kinematics solution of a high degree of freedom robotic manipulator
The foundation and emphasis of robotic manipulator control is Inverse Kinematics (IK). Due
to the complexity of derivation, difficulty of computation, and redundancy, traditional IK …
to the complexity of derivation, difficulty of computation, and redundancy, traditional IK …
A framework for taxonomy and evaluation of self-reconfigurable robotic systems
Self-reconfigurable robots have been proposed for a quite long period and in large
numbers. However, there are very few systematic methodologies proposed to categorize …
numbers. However, there are very few systematic methodologies proposed to categorize …