Orthopedics

Deep Learning model for markerless tracking in spinal SBRT.

Stereotactic Body Radiation Therapy (SBRT), alternatively termed Stereotactic ABlative Radiotherapy ...

Osteoarthritis of the Temporomandibular Joint can be diagnosed earlier using biomarkers and machine learning.

After chronic low back pain, Temporomandibular Joint (TMJ) disorders are the second most common musc...

Deep neural model with self-training for scientific keyphrase extraction.

Scientific information extraction is a crucial step for understanding scientific publications. In th...

Generative approach for data augmentation for deep learning-based bone surface segmentation from ultrasound images.

PURPOSE: Precise localization of cystic bone lesions is crucial for osteolytic bone tumor surgery. R...

Automating three-dimensional osteoarthritis histopathological grading of human osteochondral tissue using machine learning on contrast-enhanced micro-computed tomography.

OBJECTIVE: To develop and validate a machine learning (ML) approach for automatic three-dimensional ...

Deep learning-based fully automatic segmentation of wrist cartilage in MR images.

The study objective was to investigate the performance of a dedicated convolutional neural network (...

Alveolar Bone Segmentation in Intraoral Ultrasonographs with Machine Learning.

The use of intraoral ultrasound imaging has received great attention recently due to the benefits of...

Enhancing the Surface Properties of a Bioengineered Anterior Cruciate Ligament Matrix for Use with Point-of-Care Stem Cell Therapy.

We have previously developed a poly(-lactic) acid (PLLA) bioengineered anterior cruciate ligament (A...

Design and control of an image-guided robot for spine surgery in a hybrid OR.

BACKGROUND: Minimally invasive spine (MIS) fusion surgery requires image guidance and expert manual ...

MRI radiomics-based machine-learning classification of bone chondrosarcoma.

PURPOSE: To evaluate the diagnostic performance of machine learning for discrimination between low-g...

A review on segmentation of knee articular cartilage: from conventional methods towards deep learning.

In this paper, we review the state-of-the-art approaches for knee articular cartilage segmentation f...

Deep Learning Hybrid Method to Automatically Diagnose Periodontal Bone Loss and Stage Periodontitis.

We developed an automatic method for staging periodontitis on dental panoramic radiographs using the...

Using artificial neural networks to predict impingement and dislocation in total hip arthroplasty.

Dislocation after total hip arthroplasty (THA) remains a major issue and an important post-surgical ...

Machine learning-guided evolution of BMP-2 knuckle Epitope-Derived osteogenic peptides to target BMP receptor II.

Bone morphogenetic protein-2 (BMP-2) is a key regulator of bone formation, growth and regeneration, ...

A convolutional neural network to detect scoliosis treatment in radiographs.

PURPOSE: The aim of this work is to propose a classification algorithm to automatically detect treat...

Birds have peramorphic skulls, too: anatomical network analyses reveal oppositional heterochronies in avian skull evolution.

In contrast to the vast majority of reptiles, the skulls of adult crown birds are characterized by a...

Modernization of bone age assessment: comparing the accuracy and reliability of an artificial intelligence algorithm and shorthand bone age to Greulich and Pyle.

UNLABELLED: Greulich and Pyle (GP) is one of the most common methods to determine bone age from hand...

A commentary on "A retrospective study comparing a single surgeon's experience on manual versus robot-assisted total hip arthroplasty after the learning curve of the latter procedure, a cohort study".

Segmentation of finger tendon and synovial sheath in ultrasound image using deep convolutional neural network.

BACKGROUND: Trigger finger is a common hand disease, which is caused by a mismatch in diameter betwe...

Bone segmentation on whole-body CT using convolutional neural network with novel data augmentation techniques.

BACKGROUND: The purpose of this study was to develop and evaluate an algorithm for bone segmentation...

Multi-Task Joint Learning Model for Segmenting and Classifying Tongue Images Using a Deep Neural Network.

Automatic tongue image segmentation and tongue image classification are two crucial tongue character...