Orthopedics

Editor's Spotlight/Take 5: Can Machine Learning Algorithms Predict Which Patients Will Achieve Minimally Clinically Important Differences From Total Joint Arthroplasty?

Can Machine Learning Algorithms Predict Which Patients Will Achieve Minimally Clinically Important Differences From Total Joint Arthroplasty?

BACKGROUND: Identifying patients at risk of not achieving meaningful gains in long-term postsurgical patient-reported outcome measures (PROMs) is important for improving patient monitoring and facilitating presurgical decision support. Machine learning may help automatically select and weigh many predictors to create models that maximize predictive power. However, these techniques are underused am...

Evaluation and Verification of A Novel Wrist Rehabilitation Robot employing Safety-related Mechanism.

In this paper, we propose a wrist rehabilitation robot employing a novel actuation mechanism composed of electromagnetic clutch, brake, and motor and ...

A Model-Based Method for Minimizing Reflected Motor Inertia in Off-board Actuation Systems: Applications in Exoskeleton Design.

The research and development of wearable robotic devices has been accelerated by off-board control and actuation systems. While off-board robotic actu...

Co-Ex: A Torque-Controllable Lower Body Exoskeleton for Dependable Human-Robot Co-existence.

In this paper, we present our research study concerning the design and development of an exoskeleton that aims to provide 3D walking support with mini...

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 data for clinical assessment and to provide feedback...

A Support Vector Regression Approach for Continuous Prediction of Ankle Angle and Moment During Walking: An Implication for Developing a Control Strategy for Active Ankle Prostheses.

Lower limb amputations impair normal locomotion. This calls for the use of prosthetic devices to restore the lost or disabled functionality. Most of t...

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 walking function after neurological injury. Gait speed, ...

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 loading of the knee joint. Numerous conservative ...

In natural interaction with embodied robots, we prefer it when they follow our gaze: a gaze-contingent mobile eyetracking study.

Initiating joint attention by leading someone's gaze is a rewarding experience which facilitates social interaction. Here, we investigate this experie...

Bone-Cancer Assessment and Destruction Pattern Analysis in Long-Bone X-ray Image.

Bone cancer originates from bone and rapidly spreads to the rest of the body affecting the patient. A quick and preliminary diagnosis of bone cancer b...

Automatic Vertebrae Localization and Identification by Combining Deep SSAE Contextual Features and Structured Regression Forest.

Automatic vertebrae localization and identification in medical computed tomography (CT) scans is of great value for computer-aided spine diseases diag...

Does component placement affect short-term clinical outcome in robotic-arm assisted unicompartmental knee arthroplasty?

AIMS: The purpose of this multicentre observational study was to investigate the association between intraoperative component positioning and soft-tis...

Efficacy and safety of electroacupuncture in treatment of lumbar disc herniation: a protocol for a cohort study.

OBJECTIVE: To compare the efficacy of electroacupuncture (deep needling) and general orthopedics in treatment of lumbar disc herniation (LDH), and to ...

Machine-learning-based patient-specific prediction models for knee osteoarthritis.

Osteoarthritis (OA) is an extremely common musculoskeletal disease. However, current guidelines are not well suited for diagnosing patients in the ear...

Automatic hip geometric feature extraction in DXA imaging using regional random forest.

BACKGROUND: Hip fracture is considered one of the salient disability factors across the global population. People with hip fractures are prone to beco...

Deep Learning for Chondrocyte Identification in Automated Histological Analysis of Articular Cartilage.

BACKGROUND: Histology-based methods are commonly used in osteoarthritis (OA) research because they provide detailed information about cartilage health...

Infographic: Robotics are guiding arthroplasties to less pain and faster recovery.

A hierarchically trained generative network for robust facial symmetrization.

Face symmetrization has extensive applications in both medical and academic fields, such as facial disorder diagnosis. Human face possesses an importa...

Monitoring of the Achilles tendon healing process: can artificial intelligence be helpful?

PURPOSE: The aim of this study was to verify improved, ensemble-based strategy for inferencing with use of our solution for quantitative assessment of...