Orthopedics

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

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Showing 2563-2583 of 5,212 articles
A semi-supervised autoencoder framework for joint generation and classification of breathing.

BACKGROUND AND OBJECTIVE: One of the main problems with biomedical signals is the limited amount of ...

The future of bone regeneration: integrating AI into tissue engineering.

Tissue engineering is a branch of regenerative medicine that harnesses biomaterial and stem cell res...

Estimating Human Pose Efficiently by Parallel Pyramid Networks.

Good performance and high efficiency are both critical for estimating human pose in practice. Recent...

Deep Learning-Based Denoised MRI Images for Correlation Analysis between Lumbar Facet Joint and Lumbar Disc Herniation in Spine Surgery.

This work aimed to explore the relationship between spine surgery lumbar facet joint (LFJ) and lumba...

A Novel Pressure-Controlled Revolute Joint with Variable Stiffness.

The compliance and deformability of soft robotics allow human-machine interactions in a safe manner ...

Robot-assisted Exploration of Somatic Nerves in the Pelvis and Transection of the Sacrospinous Ligament for Alcock Canal Syndrome.

STUDY OBJECTIVE: Some articles have reported the surgical management of Alcock canal syndrome (ACS) ...

Bone collision detection method for robot assisted fracture reduction based on force curve slope.

BACKGROUND AND OBJECTIVE: The application of robot technology in fracture reduction ensures the mini...

2D-3D reconstruction of distal forearm bone from actual X-ray images of the wrist using convolutional neural networks.

The purpose of the study was to develop a deep learning network for estimating and constructing high...

Interpretable and Lightweight 3-D Deep Learning Model for Automated ACL Diagnosis.

We propose an interpretable and lightweight 3D deep neural network model that diagnoses anterior cru...

LPAQR-Net: Efficient Vertebra Segmentation From Biplanar Whole-Spine Radiographs.

Vertebra segmentation from biplanar whole-spine radiographs is highly demanded in the quantitative a...

Deep Learning in the Detection of Rare Fractures - Development of a "Deep Learning Convolutional Network" Model for Detecting Acetabular Fractures.

BACKGROUND: Fracture detection by artificial intelligence and especially Deep Convolutional Neural N...

Joint fully convolutional and graph convolutional networks for weakly-supervised segmentation of pathology images.

Tissue/region segmentation of pathology images is essential for quantitative analysis in digital pat...

Deep neural network approach for estimating the three-dimensional human center of mass using joint angles.

Human body center of mass location plays an essential role in physical therapy, especially in invest...

Machine learning reveals mesenchymal breast carcinoma cell adaptation in response to matrix stiffness.

Epithelial-mesenchymal transition (EMT) and its reverse process, mesenchymal-epithelial transition (...

Equal bony resection of distal and posterior femur will lead to flexion/extension gap inequality in robot-assisted cruciate-retaining TKA.

PURPOSE: Joint imbalance has become one of the main reasons for early revision after total knee arth...

Development of convolutional neural networks for recognition of tenogenic differentiation based on cellular morphology.

BACKGROUND AND OBJECTIVE: The use of automated systems for image recognition is highly preferred for...

Automated cortical thickness measurement of the mandibular condyle head on CBCT images using a deep learning method.

This study proposes a deep learning model for cortical bone segmentation in the mandibular condyle h...

A Machine Learning Tool Using Digital Microscopy (Morphogo) for the Identification of Abnormal Lymphocytes in the Bone Marrow.

Morphological analysis of the bone marrow is an essential step in the diagnosis of hematological dis...

Development of Machine Learning Models for Prediction of Osteoporosis from Clinical Health Examination Data.

Osteoporosis is treatable but often overlooked in clinical practice. We aimed to construct predictio...

AI MSK clinical applications: spine imaging.

Recent investigations have focused on the clinical application of artificial intelligence (AI) for t...

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