Orthopedics

Latest AI and machine learning research in orthopedics for healthcare professionals.

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Fully Automated Segmentation of Alveolar Bone Using Deep Convolutional Neural Networks from Intraoral Ultrasound Images.

Delineation of alveolar bone aids the diagnosis and treatment of periodontal diseases. In current pr...

Low-dose CT Denoising Using Edge Detection Layer and Perceptual Loss.

Low-dose CT imaging is a valid approach to reduce patients' exposure to X-ray radiation. However, re...

Estimating Movements of Human Body for the Shirt-Type Wearable Device Mounted on the Strain Sensors Based on Convolutional Neural Networks.

To measure the life log of humans and enjoy virtual or augmented reality video games, several wearab...

A New Trajectory Determination Method for Robot-Assisted Ankle Ligament Rehabilitation.

Keeping ligament strain at an appropriate range is beneficial for avoiding unexpected injuries and e...

A Novel Underactuated Robotic Finger with Variable Stiffness Joints.

Existing robotic hands mostly consist of rigid finger mechanism with constant joint stiffness, leadi...

Kinematic Redundancy Analysis during Goal-Directed Motion for Trajectory Planning of an Upper-Limb Exoskeleton Robot.

The kinematic redundancy of human arm imposes challenges on joint space trajectory planning for uppe...

Synergy-Based Myocontrol of a Multiple Degree-of-Freedom Humanoid Robot for Functional Tasks.

In the context of sensor-based human-robot interaction, a particularly promising solution is represe...

3D Ultrasound Spine Image Selection Using Convolution Learning-to-Rank Algorithm.

3D Ultrasound imaging has become an important means of scoliosis assessment as it is a real-time, co...

Optoelectronic Sensor-based Shape Sensing Approach for Flexible Manipulators.

This paper presents a novel two-axis shape sensor based on optical optoelectronic sensors and integr...

Alzheimer's Disease Brain Network Classification Using Improved Transfer Feature Learning with Joint Distribution Adaptation.

Alzheimer's disease significantly affects the quality of life of patients. This paper proposes an ap...

Epileptic States Recognition Using Transfer Learning.

Automatic recognition of electroencephalogram (EEG) signals plays a major role in epilepsy diagnosis...

Deep-learning-based fully automatic spine centerline detection in CT data.

In this contribution, we present a fully automatic approach, that is based on two convolution neural...

A joint-feature learning-based voice conversion system for dysarthric user based on deep learning technology.

Dysarthria speakers suffer from poor communication, and voice conversion (VC) technology is a potent...

Position Based Impedance Control Strategy for a Lower Limb Rehabilitation Robot.

Active rehabilitation training can improve patients' neural engagement and the rehabilitation effect...

Artificial intelligence, osteoporosis and fragility fractures.

PURPOSE OF REVIEW: Artificial intelligence tools have found new applications in medical diagnosis. T...

Bundled Care for Hip Fractures: A Machine-Learning Approach to an Untenable Patient-Specific Payment Model.

OBJECTIVES: With the transition to a value-based model of care delivery, bundled payment models have...

A Predictive Model for Determining Patients Not Requiring Prolonged Hospital Length of Stay After Elective Primary Total Hip Arthroplasty.

BACKGROUND: Hospital length of stay (LOS) is an important quality metric for total hip arthroplasty....

Development of a Robotic Unloader Brace for Investigation of Conservative Treatment of Medial Knee Osteoarthritis.

Knee osteoarthritis (KOA) is a painful and debilitating condition that is associated with mechanical...

Single-stride exposure to pulse torque assistance provided by a robotic exoskeleton at the hip and knee joints.

Robot assisted gait retraining is an increasingly common method for supporting restoration of walkin...

Preliminary Evaluation of Disturbance Torque Estimation Approaches for Lower-limb Robotic Rehabilitation.

In robotic rehabilitation, knowledge of human joint torques is very important to provide reliable da...

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