Latest AI and machine learning research in orthopedics for healthcare professionals.
OBJECTIVES: To explore the performance of a deep learning-based algorithm for automatic patellofemor...
In this study we investigated whether people conceptually align when performing a language task toge...
OBJECTIVES: This study aimed to develop a fully automated artificial intelligence-aided cervical ver...
This study investigated the usefulness of deep learning-based automatic detection of anterior disc d...
When a flexible link manipulator lacks a joint motor, how to use the remaining motors to achieve the...
INTRODUCTION: We aim to apply deep learning to achieve fully automated detection and classification ...
When deep neural network (DNN) was first introduced to the medical image analysis community, researc...
PURPOSE: The main objective of this study was to compare radiologists' performance without and with ...
The ultimate goal of this research study is to perform continuous rather than sequential movements o...
As we age, humans see natural decreases in muscle force and power which leads to a slower, less effi...
Bone milling is one of the most important and sensitive biomechanical processes in the field of medi...
The purpose is to improve Chinese enterprises' economic benefit evaluation system based on big data ...
OBJECTIVE: This study explored whether robotic arm-assisted total knee arthroplasty (RATKA) has the ...
OBJECTIVES: To identify the feasibility of deep learning-based diagnostic models for detecting and a...
This paper adopts the multimodal approach of human-computer collaboration to conduct an in-depth stu...
(1) Teeth, in humans, represent the most resilient tissues. However, exposure to concentrated acids ...
This work aimed to investigate the application value of the multimodal magnetic resonance imaging (M...
The main purpose of this study was to determine the learning curve of Robotic assisted Total Knee Ar...
Graph autoencoders (GAE) and variational graph autoencoders (VGAE) emerged as powerful methods for l...
OBJECTIVES: To develop a deep-learning algorithm for anterior cruciate ligament (ACL) tear detection...
BACKGROUND: Acceleration of MR imaging (MRI) is a popular research area, and usage of deep learning ...