Orthopedics

Deep learning for osteoarthritis classification in temporomandibular joint.

OBJECTIVES: This study aimed to develop a diagnostic support tool using pretrained models for classifying panoramic images of the temporomandibular joint (TMJ) into normal and osteoarthritis (OA) cases.

Comparison of manual versus automated measurement of Cobb angle in idiopathic scoliosis based on a deep learning keypoint detection technology.

PURPOSE: The present study compared manual and automated measurement of Cobb angle in idiopathic scoliosis based on deep learning keypoint detection technology.

Subchondral Bone Length in Knee Osteoarthritis: A Deep Learning-Derived Imaging Measure and Its Association With Radiographic and Clinical Outcomes.

OBJECTIVE: To develop a bone shape measure that reflects the extent of cartilage loss and bone flattening in knee osteoarthritis (OA) and test it agai...

Screening of key biomarkers of tendinopathy based on bioinformatics and machine learning algorithms.

Tendinopathy is a complex multifaceted tendinopathy often associated with overuse and with its high prevalence resulting in significant health care co...

Development of a Machine Learning Algorithm for Prediction of Complications and Unplanned Readmission Following Reverse Total Shoulder Arthroplasty.

BACKGROUND: Reverse total shoulder arthroplasty (rTSA) offers tremendous promise for the treatment of complex pathologies beyond the scope of anatomic...

Three-Fingered Soft Pneumatic Gripper Integrating Joint-Tuning Capability.

Compared with traditional rigid grippers, soft grippers are made of lightweight and soft materials and have the characteristics of flexible contact an...

Applying deep learning to quantify empty lacunae in histologic sections of osteonecrosis of the femoral head.

Osteonecrosis of the femoral head (ONFH) is a disease in which inadequate blood supply to the subchondral bone causes the death of cells in the bone m...

Automation in arthrosis research.

Widespread medical studies require the analysis of suitable sample numbers to discover certain effects. Arthrosis treatment with hip and knee joint en...

Curriculum learning for improved femur fracture classification: Scheduling data with prior knowledge and uncertainty.

An adequate classification of proximal femur fractures from X-ray images is crucial for the treatment choice and the patients' clinical outcome. We re...

Applications of Machine Learning in Bone and Mineral Research.

In this unprecedented era of the overwhelming volume of medical data, machine learning can be a promising tool that may shed light on an individualize...

A deep learning method for predicting knee osteoarthritis radiographic progression from MRI.

BACKGROUND: The identification of patients with knee osteoarthritis (OA) likely to progress rapidly in terms of structure is critical to facilitate th...

Deep learning for bone marrow cell detection and classification on whole-slide images.

Bone marrow (BM) examination is an essential step in both diagnosing and managing numerous hematologic disorders. BM nucleated differential count (NDC...

RTJTN: Relational Triplet Joint Tagging Network for Joint Entity and Relation Extraction.

Extracting entities and relations from unstructured sentences is one of the most concerned tasks in the field of natural language processing. However,...

Deep learning on fundus images detects glaucoma beyond the optic disc.

Although unprecedented sensitivity and specificity values are reported, recent glaucoma detection deep learning models lack in decision transparency. ...

ROBOGait: A Mobile Robotic Platform for Human Gait Analysis in Clinical Environments.

Mobile robotic platforms have made inroads in the rehabilitation area as gait assistance devices. They have rarely been used for human gait monitoring...

Blood-Based Immune Profiling Combined with Machine Learning Discriminates Psoriatic Arthritis from Psoriasis Patients.

Psoriasis (Pso) is a chronic inflammatory skin disease, and up to 30% of Pso patients develop psoriatic arthritis (PsA), which can lead to irreversibl...

Hybrid Bone-Grafting Technique for Staged Revision Anterior Cruciate Ligament Reconstruction.

UNLABELLED: Although most patients who undergo anterior cruciate ligament (ACL) reconstruction achieve long-term functional stability and symptom reli...

Thoracolumbar Burst Fractures: A Systematic Review and Meta-Analysis on the Anterior and Posterior Approaches.

BACKGROUND: A thoracolumbar burst fracture (BF) is a severe type of compression fracture, which is the most common type of traumatic spine fractures. ...

Application of Medical Imaging Based on Deep Learning in the Treatment of Lumbar Degenerative Diseases and Osteoporosis with Bone Cement Screws.

OBJECTIVE: To explore the application value of magnetic resonance spectroscopy (MRS) and GSI-energy spectrum electronic computed tomography (CT) medic...

Clinical and Radiologic Outcomes of Robot-Assisted Kyphoplasty versus Fluoroscopy-Assisted Kyphoplasty in the Treatment of Osteoporotic Vertebral Compression Fractures: A Retrospective Comparative Study.

BACKGROUND: Making surgery as less aggressive as possible is best for elderly patients with osteoporotic vertebral compression fractures (OVCFs). Rece...