Orthopedics

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

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Large-scale machine-learning-based phenotyping significantly improves genomic discovery for optic nerve head morphology.

Genome-wide association studies (GWASs) require accurate cohort phenotyping, but expert labeling can...

Joint Detection of Tap and CEA Based on Deep Learning Medical Image Segmentation: Risk Prediction of Thyroid Cancer.

In recent years, the incidence of thyroid nodules has shown an increasing trend year by year and has...

Spine dynamics in the brain, mental disorders and artificial neural networks.

In the brain, most synapses are formed on minute protrusions known as dendritic spines. Unlike their...

A marker registration method to improve joint angles computed by constrained inverse kinematics.

Accurate computation of joint angles from optical marker data using inverse kinematics methods requi...

Robot-Assisted Autism Therapy (RAAT). Criteria and Types of Experiments Using Anthropomorphic and Zoomorphic Robots. Review of the Research.

Supporting the development of a child with autism is a multi-profile therapeutic work on disturbed a...

Automatic Hyoid Bone Tracking in Real-Time Ultrasound Swallowing Videos Using Deep Learning Based and Correlation Filter Based Trackers.

(1) Background: Ultrasound provides a radiation-free and portable method for assessing swallowing. H...

A Sentence-Level Joint Relation Classification Model Based on Reinforcement Learning.

Relation classification is an important semantic processing task in the field of natural language pr...

A joint deep learning model enables simultaneous batch effect correction, denoising, and clustering in single-cell transcriptomics.

Recent developments of single-cell RNA-seq (scRNA-seq) technologies have led to enormous biological ...

Generalisability through local validation: overcoming barriers due to data disparity in healthcare.

Cho et al. report deep learning model accuracy for tilted myopic disc detection in a South Korean po...

Evaluating subscapularis tendon tears on axillary lateral radiographs using deep learning.

OBJECTIVE: To develop a deep learning algorithm capable of evaluating subscapularis tendon (SSC) tea...

Automatic segmentation of fish midlines for optimizing robot design.

While fish use continuous and flexible bodies to propel themselves, fish robots are often made from ...

Multi-task temporal convolutional networks for joint recognition of surgical phases and steps in gastric bypass procedures.

PURPOSE: Automatic segmentation and classification of surgical activity is crucial for providing adv...

Probing an AI regression model for hand bone age determination using gradient-based saliency mapping.

Understanding how a neural network makes decisions holds significant value for users. For this reaso...

State-of-the-art reviews predictive modeling in adult spinal deformity: applications of advanced analytics.

Adult spinal deformity (ASD) is a complex and heterogeneous disease that can severely impact patient...

A deep learning model for detection of cervical spinal cord compression in MRI scans.

Magnetic Resonance Imaging (MRI) evidence of spinal cord compression plays a central role in the dia...

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