Orthopedics

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

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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 sco...

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 flatt...

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 ...

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 o...

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

Compared with traditional rigid grippers, soft grippers are made of lightweight and soft materials a...

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 subcho...

Automation in arthrosis research.

Widespread medical studies require the analysis of suitable sample numbers to discover certain effec...

Multi-view graph embedding clustering network: Joint self-supervision and block diagonal representation.

Multi-view clustering has become an active topic in artificial intelligence. Yet, similar investigat...

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 treatmen...

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 prom...

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 ...

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 hematolog...

SD-Net: joint surgical gesture recognition and skill assessment.

PURPOSE: Surgical gesture recognition has been an essential task for providing intraoperative contex...

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 ...

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. Th...

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

Although unprecedented sensitivity and specificity values are reported, recent glaucoma detection de...

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 psoria...

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

UNLABELLED: Although most patients who undergo anterior cruciate ligament (ACL) reconstruction achie...

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 t...

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 ...

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