Orthopedics

Hold My Hand: Development of a Force Controller and System Architecture for Joint Walking with a Companion Robot.

In recent years, there has been a growing interest in the development of robotic systems for improvi...

Effect of Gait Speed on Trajectory Prediction Using Deep Learning Models for Exoskeleton Applications.

Gait speed is an important biomechanical determinant of gait patterns, with joint kinematics being i...

Decreasing the Pedicle Screw Misplacement Rate in the Thoracic Spine With Robot-guided Navigation.

STUDY DESIGN: A retrospective chart review.

Evaluating the Accuracy and Reliability of Blowout Fracture Area Measurement Methods: A Review and the Potential Role of Artificial Intelligence.

Blowout fractures are a common type of facial injury that requires accurate measurement of the fract...

Two-stage multi-task deep learning framework for simultaneous pelvic bone segmentation and landmark detection from CT images.

PURPOSE: Pelvic bone segmentation and landmark definition from computed tomography (CT) images are p...

MAKO robot-assisted total knee arthroplasty cannot reduce the aggravation of ankle varus incongruence after genu varus correction ≥ 10°: a radiographic assessment.

INTRODUCTION: The objective of this study was to investigate the ankle alignment alterations after t...

Prediction of osteoporosis using MRI and CT scans with unimodal and multimodal deep-learning models.

PURPOSE: Osteoporosis is the systematic degeneration of the human skeleton, with consequences rangin...

Robot-assisted spinal augmentation procedures: is it worth the increased effort?

PURPOSE: Spinal augmentation procedures (SAP) are standard procedures for vertebral compression frac...

Development and clinical validation of deep learning for auto-diagnosis of supraspinatus tears.

BACKGROUND: Accurately diagnosing supraspinatus tears based on magnetic resonance imaging (MRI) is c...

Deciphering ligand-receptor-mediated intercellular communication based on ensemble deep learning and the joint scoring strategy from single-cell transcriptomic data.

BACKGROUND: Cell-cell communication in a tumor microenvironment is vital to tumorigenesis, tumor pro...

Learning curve and short-term clinical outcomes of a new seven-axis robot-assisted total knee arthroplasty system: a propensity score-matched retrospective cohort study.

OBJECTIVE: The purpose of the present study was to determine the learning curve for a novel seven-ax...

Glenoid segmentation from computed tomography scans based on a 2-stage deep learning model for glenoid bone loss evaluation.

BACKGROUND: The best-fitting circle drawn by computed tomography (CT) reconstruction of the en face ...

Discovery of senolytics using machine learning.

Cellular senescence is a stress response involved in ageing and diverse disease processes including ...

Comparing end-effector position and joint angle feedback for online robotic limb tracking.

Somatosensation greatly increases the ability to control our natural body. This suggests that supple...

Joint liver and hepatic lesion segmentation in MRI using a hybrid CNN with transformer layers.

UNLABELLED: Backgound and Objective: Deep learning-based segmentation of the liver and hepatic lesio...

Using deep learning to accelerate temporomandibular joint MRI at 3 T: A case report.

Shoulder Range of Motion Measurement Using Inertial Measurement Unit-Validation with a Robot Arm.

The invention of inertial measurement units allowed the construction of sensors suitable for human m...

A Support Vector Machine-Based Approach for Bolt Loosening Monitoring in Industrial Customized Vehicles.

Machine learning techniques have progressively emerged as important and reliable tools that, when co...

Estimation of Lower Extremity Joint Moments and 3D Ground Reaction Forces Using IMU Sensors in Multiple Walking Conditions: A Deep Learning Approach.

Human kinetics, specifically joint moments and ground reaction forces (GRFs) can provide important c...

VLTENet: A Deep-Learning-Based Vertebra Localization and Tilt Estimation Network for Automatic Cobb Angle Estimation.

Scoliosis diagnosis and assessment rely upon Cobb angle estimation from X-ray images of the spine. R...

Enhancement of Non-Linear Deep Learning Model by Adjusting Confounding Variables for Bone Age Estimation in Pediatric Hand X-rays.

In medicine, confounding variables in a generalized linear model are often adjusted; however, these ...