Orthopedics

Simulated outcomes for durotomy repair in minimally invasive spine surgery.

Minimally invasive spine surgery (MISS) is increasingly performed using endoscopic and microscopic v...

Approaching expert-level accuracy for differentiating ACL tear types on MRI with deep learning.

Treatment for anterior cruciate ligament (ACL) tears depends on the condition of the ligament. We ai...

Predicting saturated and near-saturated hydraulic conductivity using artificial neural networks and multiple linear regression in calcareous soils.

Hydraulic conductivity (Kψ) is one of the most important soil properties that influences water and c...

Joint representation of molecular networks from multiple species improves gene classification.

Network-based machine learning (ML) has the potential for predicting novel genes associated with nea...

Machine-learning-based coordination of powered ankle-foot orthosis and functional electrical stimulation for gait control.

This study proposes a novel gait rehabilitation method that uses a hybrid system comprising a powere...

Vitamin D status and its associations with bone mineral density, bone turnover markers, and parathyroid hormone in Chinese postmenopausal women with osteopenia and osteoporosis.

BACKGROUND: Vitamin D is a key factor in bone metabolism, yet vitamin D insufficiency and deficiency...

Diagnostic evaluation of deep learning accelerated lumbar spine MRI.

BACKGROUND AND PURPOSE: Deep learning (DL) accelerated MR techniques have emerged as a promising app...

Deep learning-based diagnostic models for bone lesions: is current research ready for clinical translation?

Prediction of knee biomechanics with different tibial component malrotations after total knee arthroplasty: conventional machine learning vs. deep learning.

The precise alignment of tibiofemoral components in total knee arthroplasty is a crucial factor in e...

Identification of mitophagy-related biomarkers in human osteoporosis based on a machine learning model.

Osteoporosis (OP) is a chronic bone metabolic disease and a serious global public health problem. S...

A convolutional neural network-based method for the generation of super-resolution 3D models from clinical CT images.

BACKGROUND AND OBJECTIVE: The accurate evaluation of bone mechanical properties is essential for pre...

Evaluation of deep learning-based quantitative computed tomography for opportunistic osteoporosis screening.

To evaluate diagnostic efficacy of deep learning (DL)-based automated bone mineral density (BMD) mea...

Robot Navigation System Assisted PFNA Fixation of Femoral Intertrochanteric Fractures in the Elderly: A Retrospective Clinical Study.

OBJECTIVE: The incidence of hip fracture in the elderly is increasing. Robot navigation technology h...

Feasibility of OpenPose markerless motion analysis in a real athletics competition.

This study tested the performance of OpenPose on footage collected by two cameras at 200 Hz from a r...

A review on artificial intelligence for the diagnosis of fractures in facial trauma imaging.

Patients with facial trauma may suffer from injuries such as broken bones, bleeding, swelling, bruis...

SALW-Net: a lightweight convolutional neural network based on self-adjusting loss function for spine MR image segmentation.

Segmentation of intervertebral discs and vertebrae from spine magnetic resonance (MR) images is esse...

Deep learning-based optic disc classification is affected by optic-disc tilt.

We aimed to determine the effect of optic disc tilt on deep learning-based optic disc classification...

Frankincense preparation promotes formation of inflammation-resolving lipid mediators by manipulating lipoxygenases in human innate immune cells.

Frankincense preparations are frequently used as traditional anti-inflammatory remedies in folk med...

MRI radiomics-based decision support tool for a personalized classification of cervical disc degeneration: a two-center study.

To develop and validate an MRI radiomics-based decision support tool for the automated grading of c...

Deep Learning Algorithm of the SPARCC Scoring System in SI Joint MRI.

BACKGROUND: The Spondyloarthritis Research Consortium of Canada (SPARCC) scoring system is a sacroil...

Designing human-AI systems for complex settings: ideas from distributed, joint, and self-organising perspectives of sociotechnical systems and cognitive work analysis.

Real-world events like the COVID-19 pandemic and wildfires in Australia, Europe, and America remind ...