Latest AI and machine learning research in orthopedics for healthcare professionals.
: The number of patients who undergo multiple operations on a knee is increasing. The objective of t...
An adaptive fuzzy control strategy is proposed for a single-link flexible-joint robotic manipulator ...
Artificial neural networks overwrite previously learned tasks when trained sequentially, a phenomeno...
PURPOSE: The assistance of robot technology is introduced into the operating theatre to improve the ...
The growing health and economic burden of bone fractures, their intricate multiscale features and th...
BACKGROUND/OBJECTIVE: The Regional Acceleratory Phenomenon (RAP) can be induced surgically via decor...
PURPOSE: The purpose of this study is to compare fully automated CT-based measures of adipose tissue...
PURPOSE: To (1) develop a deep-learning (DL) algorithm capable of producing limb-length and knee-ali...
Although biopsy-based necrosis rate is a golden standard for reflecting the sensitivity of bone tumo...
Soft robotics locomotion at the liquid-air interface has become more and more important for an intel...
INTRODUCTION: Robotically assisted total knee arthroplasty (RA-TKA) is an emerging surgical tool. Th...
PURPOSE: Members of the European Knee Society (EKS) recently took part in an online questionnaire on...
BACKGROUND AND OBJECTIVE: Image-guided robotic surgery for fracture reduction is a medical procedure...
The simultaneous modulation of joint torque and stiffness enables humans to perform large repertoire...
The implementation of robotic systems for minimally invasive surgery and medical procedures is an ac...
Intention recognition based on surface electromyography (sEMG) signals is pivotal in human-machine i...
Structural optimisation of robotic manipulators is critical for any manipulator used in confined sem...
OBJECTIVES: Temporomandibular joint (TMJ) internal derangements (ID) represent the most prevalent te...
BACKGROUND: With the rapid development of deep learning algorithms and the rapid improvement of comp...
There is no consensus regarding the optimal treatment for unstable hangman's fractures. Conservative...
We introduce a novel neural network-based BRDF model and a Bayesian framework for object inverse ren...