Orthopedics

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

5,194 articles
Stay Ahead - Weekly Orthopedics research updates
Subscribe
Browse Specialties
Subcategories: Sports Medicine
Showing 841-861 of 5,194 articles
Joint suppression of cardiac bSSFP cine banding and flow artifacts using twofold phase-cycling and a dual-encoder neural network.

BACKGROUND: Cardiac balanced steady state free precession (bSSFP) cine imaging suffers from banding ...

A machine-learning-based algorithm for bone marrow cell differential counting.

BACKGROUND: Differential counting (DC) of different cell types in bone marrow (BM) aspiration smears...

Utilizing artificial intelligence to determine bone mineral density using spectral CT.

BACKGROUND: Dual-energy computed tomography (DECT) has demonstrated the feasibility of using HAP-wat...

Barrier-critic-disturbance approximate optimal control of nonzero-sum differential games for modular robot manipulators.

In this paper, for addressing the safe control problem of modular robot manipulators (MRMs) system w...

Automated detection of bone lesions using CT and MRI: a systematic review.

PURPOSE: The aim of this study was to systematically review the use of automated detection systems f...

Lower Limb Torque Prediction for Sit-To-Walk Strategies Using Long Short-Term Memory Neural Networks.

Joint torque prediction is crucial when investigating biomechanics, evaluating treatments, and desig...

A critical comparative study of the performance of three AI-assisted programs for bone age determination.

OBJECTIVES: To date, AI-supported programs for bone age (BA) determination for medical use in Europe...

A machine learning approach for the design optimization of a multiple magnetic and inertial sensors wearable system for the spine mobility assessment.

BACKGROUND: Recently, magnetic and inertial measurement units (MIMU) based systems have been applied...

Revolutionizing spinal interventions: a systematic review of artificial intelligence technology applications in contemporary surgery.

Leveraging its ability to handle large and complex datasets, artificial intelligence can uncover sub...

Optimizing knee osteoarthritis severity prediction on MRI images using deep stacking ensemble technique.

Knee osteoarthritis (KOA) represents a well-documented degenerative arthropathy prevalent among the ...

HarDNet-based deep learning model for osteoporosis screening and bone mineral density inference from hand radiographs.

PURPOSE: Osteoporosis, affecting over 200 million individuals, often remains unrecognized and untrea...

AFSegNet: few-shot 3D ankle-foot bone segmentation via hierarchical feature distillation and multi-scale attention and fusion.

Accurate segmentation of ankle and foot bones from CT scans is essential for morphological analysis....

Use of Artificial Intelligence in Cobb Angle Measurement for Scoliosis: Retrospective Reliability and Accuracy Study of a Mobile App.

BACKGROUND: Scoliosis is a spinal deformity in which one or more spinal segments bend to the side or...

Understanding the role of machine learning in predicting progression of osteoarthritis.

AIMS: Machine learning (ML), a branch of artificial intelligence that uses algorithms to learn from ...

Detection, classification, and characterization of proximal humerus fractures on plain radiographs.

AIMS: The purpose of this study was to develop a convolutional neural network (CNN) for fracture det...

ACL-DUNet: A tumor segmentation method based on multiple attention and densely connected breast ultrasound images.

Breast cancer is the most common cancer in women. Breast masses are one of the distinctive signs for...

Optimization of grinding parameters in robotic-assisted preparation of cracked teeth based on fracture mechanics: FEA and experiment.

BACKGROUND AND OBJECTIVES: If left untreated, cracked teeth can lead to tooth loss, of which the inc...

Browse Specialties