Latest AI and machine learning research in orthopedics for healthcare professionals.
Leg length discrepancies are common orthopedic problems with the potential for poor functional outcomes. These are frequently assessed using bilateral leg length radiographs. The objective was to determine whether an artificial intelligence (AI)-based image analysis system can accurately interpret long leg length radiographic images. We built an end-to-end system to analyze leg length radiographs ...
This study was performed to prospectively compare the clinical and radiographic outcomes between robot-assisted minimally invasive transforaminal lumb...
OBJECTIVES: To explore the performance of a deep learning-based algorithm for automatic patellofemoral joint (PFJ) parameter measurements from the Lau...
In this study we investigated whether people conceptually align when performing a language task together with a robot. In a joint picture-naming task,...
OBJECTIVES: This study aimed to develop a fully automated artificial intelligence-aided cervical vertebral maturation (CVM) classification method base...
This study investigated the usefulness of deep learning-based automatic detection of anterior disc displacement (ADD) from magnetic resonance imaging ...
When a flexible link manipulator lacks a joint motor, how to use the remaining motors to achieve the control objective is a challenge, and the researc...
INTRODUCTION: We aim to apply deep learning to achieve fully automated detection and classification of the Cervical Vertebrae Maturation (CVM) stages....
When deep neural network (DNN) was first introduced to the medical image analysis community, researchers were impressed by its performance. However, i...
PURPOSE: The main objective of this study was to compare radiologists' performance without and with artificial intelligence (AI) assistance for the de...
As we age, humans see natural decreases in muscle force and power which leads to a slower, less efficient gait. Improving mobility for both healthy in...
The ultimate goal of this research study is to perform continuous rather than sequential movements of prismatic joints for effective motion of a snake...
Bone milling is one of the most important and sensitive biomechanical processes in the field of medical engineering. This process is used in orthopedi...
The purpose is to improve Chinese enterprises' economic benefit evaluation system based on big data and promote sustainable enterprise production. Thi...
OBJECTIVE: This study explored whether robotic arm-assisted total knee arthroplasty (RATKA) has the advantage of restoring femoral rotational alignmen...
OBJECTIVES: To identify the feasibility of deep learning-based diagnostic models for detecting and assessing lower-extremity fatigue fracture severity...
This paper adopts the multimodal approach of human-computer collaboration to conduct an in-depth study and analysis of the practical teaching model of...
(1) Teeth, in humans, represent the most resilient tissues. However, exposure to concentrated acids might lead to their dissolving, thus making human ...
This work aimed to investigate the application value of the multimodal magnetic resonance imaging (MRI) algorithm based on the low-rank decomposition ...