Orthopedics

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

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Showing 568-588 of 5,185 articles
Predictive utility of the machine learning algorithms in predicting tendinopathy: a meta-analysis of diagnostic test studies.

BACKGROUND: Tendinopathy, a degenerative condition of tendon collagen protein, is a common sports in...

Prediction of Poisson's ratio for a petroleum engineering application: Machine learning methods.

Static Poisson's ratio (νs) is an essential property used in petroleum calculations, namely fracture...

Impact of deep learning on pediatric elbow fracture detection: a systematic review and meta-analysis.

OBJECTIVES: Pediatric elbow fractures are a common injury among children. Recent advancements in art...

SegFormer3D: Improving the Robustness of Deep Learning Model-Based Image Segmentation in Ultrasound Volumes of the Pediatric Hip.

Developmental dysplasia of the hip (DDH) is a painful orthopedic malformation diagnosed at birth in ...

Accuracy of artificial intelligence in detecting tumor bone metastases: a systematic review and meta-analysis.

BACKGROUND: Bone metastases (BM) represent a prevalent complication of tumors. Early and accurate di...

Capsule network-based deep learning for early and accurate diabetic retinopathy detection.

Glaucoma, an optic nerve disease resulting in blindness if left untreated, is a difficult condition ...

Integrating finite element analysis and physics-informed neural networks for biomechanical modeling of the human lumbar spine.

BACKGROUND: Comprehending the biomechanical characteristics of the human lumbar spine is crucial for...

Artificial Intelligence in Commercial Industry: Serving the End-to-End Patient Experience Across the Digital Ecosystem.

The purpose of this article is to evaluate the application of artificial intelligence (AI) from the ...

Assessment and comparison of artificial intelligence-generated information regarding shoulder arthroplasty from multiple interfaces.

BACKGROUND: This study aims to analyze and compare the quality, accuracy, and readability of informa...

Finger-aware Artificial Neural Network for predicting arthritis in Patients with hand pain.

Arthritis is an inflammatory condition associated with joint damage, the incidence of which is incre...

Deep learning-assisted screening and diagnosis of scoliosis: segmentation of bare-back images via an attention-enhanced convolutional neural network.

BACKGROUND: Traditional diagnostic tools for scoliosis screening necessitate a substantial number of...

Locomotion design of transverse ledge brachiation robot with active wrist joint for lateral posture compensation.

A transverse ledge brachiation robot is designed to move transversely along a ledge on a vertical wa...

Development and application of AI assisted automatic reconstruction of axial lumbar disc CT images and diagnosis of lumbar disc herniation.

RATIONALE AND OBJECTIVES: To evaluate the value of artificial intelligence (AI) assisted diagnostic ...

Artificial intelligence for opportunistic osteoporosis screening with a Hounsfield Unit in chronic obstructive pulmonary disease patients.

INTRODUCTION: To investigate the accuracy of an artificial intelligence (AI) prototype in determinin...

Development of a Wearable Sleeve-Based System Combining Polymer Optical Fiber Sensors and an LSTM Network for Estimating Knee Kinematics.

This study presents a novel wearable solution integrating Polymer Optical Fiber (POF) sensors into a...

Deep learning-based clustering for endotyping and post-arthroplasty response classification using knee osteoarthritis multiomic data.

OBJECTIVES: Primary knee osteoarthritis (KOA) is a heterogeneous disease with clinical and molecular...

Learning based lower limb joint kinematic estimation using open source IMU data.

This study introduces a deep learning framework for estimating lower-limb joint kinematics using ine...

Precise multi-factor immediate implant placement decision models based on machine learning.

This study aims to explore the effect of implant apex design, osteotomy preparation, intraosseous de...

Hybrid attention-CNN model for classification of gait abnormalities using EMG scalogram images.

This research aimed to develop an algorithm for classifying scalogram images generated from electrom...

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