Orthopedics

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

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Multifunctional Human-Computer Interaction System Based on Deep Learning-Assisted Strain Sensing Array.

Continuous and reliable monitoring of gait is crucial for health monitoring, such as postoperative r...

[How well does artificial intelligence detect fractures in the cervical spine on CT?].

OBJECTIVE: To compare diagnostic accuracy of artificial intelligence (AI) for cervical spine (C-spin...

Continuous Short-Term Pain Assessment in Temporomandibular Joint Therapy Using LSTM Models Supported by Heat-Induced Pain Data Patterns.

This study aims to design a time-continuous pain level assessment system for temporomandibular joint...

Joint inference of discrete cell types and continuous type-specific variability in single-cell datasets with MMIDAS.

Reproducible definition and identification of cell types is essential to enable investigations into ...

High accuracy in lower limb alignment analysis using convolutional neural networks, with improvements needed for joint-level metrics.

PURPOSE: Evaluation of long-leg standing radiographs (LSR) is a standardised procedure for analysis ...

Quality control of elbow joint radiography using a YOLOv8-based artificial intelligence technology.

BACKGROUND: To explore an artificial intelligence (AI) technology employing YOLOv8 for quality contr...

Real-Time Calibration-Free Musculotendon Kinematics for Neuromusculoskeletal Models.

Neuromusculoskeletal (NMS) models enable non-invasive estimation of clinically important internal bi...

Interpretable prediction of acute ischemic stroke after hip fracture in patients 65 years and older based on machine learning and SHAP.

BACKGROUND: Hip fracture and acute ischemic stroke (AIS) are prevalent conditions among the older po...

Maxillofacial bone movements-aware dual graph convolution approach for postoperative facial appearance prediction.

Postoperative facial appearance prediction is vital for surgeons to make orthognathic surgical plans...

Automated Deep Learning-Based Finger Joint Segmentation in 3-D Ultrasound Images With Limited Dataset.

Ultrasound imaging has shown promise in assessing synovium inflammation associated early stages of r...

Prediction of intraoperative press-fit stability of the acetabular cup in total hip arthroplasty using radiomics-based machine learning models.

BACKGROUND: Preoperative prediction of the acetabular cup press-fit stability in total hip arthropla...

Joint [Formula: see text] and Image Reconstruction in Low-Field MRI by Physics-Informed Deep-Learning.

OBJECTIVE: We present a model-based image reconstruction approach based on unrolled neural networks ...

Predicting extended hospital stay following revision total hip arthroplasty: a machine learning model analysis based on the ACS-NSQIP database.

INTRODUCTION: Prolonged length of stay (LOS) following revision total hip arthroplasty (THA) can lea...

Predicting prolonged length of stay following revision total knee arthroplasty: A national database analysis using machine learning models.

BACKGROUND: As the number of revision total knee arthroplasty (TKA) continues to rise, close attenti...

Leukemia detection and classification using computer-aided diagnosis system with falcon optimization algorithm and deep learning.

Leukemia is a type of blood tumour that occurs because of abnormal enhancement in WBCs (white blood ...

The Potential Clinical Utility of an Artificial Intelligence Model for Identification of Vertebral Compression Fractures in Chest Radiographs.

PURPOSE: To assess the ability of the Annalise Enterprise CXR Triage Trauma (Annalise AI Pty Ltd, Sy...

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