Orthopedics

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

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Imaging in Spine Surgery: Current Concepts and Future Directions.

OBJECTIVE: To review and highlight the historical and recent advances of imaging in spine surgery an...

Development and validation of deep learning algorithms for scoliosis screening using back images.

Adolescent idiopathic scoliosis is the most common spinal disorder in adolescents with a prevalence ...

Clinical Interpretable Deep Learning Model for Glaucoma Diagnosis.

Despite the potential to revolutionise disease diagnosis by performing data-driven classification, c...

MR Protocol Optimization With Deep Learning: A Proof of Concept.

PURPOSE: This study was performed to demonstrate that a properly trained convolutional neural net (C...

Multi-label zero-shot human action recognition via joint latent ranking embedding.

Human action recognition is one of the most challenging tasks in computer vision. Most of the existi...

What microsurgeon, orthopaedic and plastic surgeon should know about bionic hand.

Hand loss is a catastrophic event that generates significant demands for orthopedics and prosthetics...

Joint Ranking SVM and Binary Relevance with robust Low-rank learning for multi-label classification.

Multi-label classification studies the task where each example belongs to multiple labels simultaneo...

Joint optic disc and cup segmentation using semi-supervised conditional GANs.

Glaucoma is a chronic and widespread eye disease threatening humans' irreversible vision loss. The c...

Triplet Deep Hashing with Joint Supervised Loss Based on Deep Neural Networks.

In recent years, with the explosion of multimedia data from search engines, social media, and e-comm...

REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs.

Glaucoma is one of the leading causes of irreversible but preventable blindness in working age popul...

A trial on artificial neural networks in predicting sex through bone length measurements on the first and fifth phalanges and metatarsals.

BACKGROUND: Predicting sex is an important problem in forensic medicine. The femur, patella, mandibl...

A Novel Tendon-Driven Soft Actuator with Self-Pumping Property.

Soft actuators and robotics have been widely researched in recent years mainly due to their complian...

Fully automated 3D segmentation and separation of multiple cervical vertebrae in CT images using a 2D convolutional neural network.

BACKGROUND AND OBJECTIVE: We investigated a novel method using a 2D convolutional neural network (CN...

Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement.

This is a condensed summary of an international multisociety statement on ethics of artificial intel...

Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement.

This is a condensed summary of an international multisociety statement on ethics of artificial intel...

Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement.

This is a condensed summary of an international multisociety statement on ethics of artificial intel...

Machine-based detection and classification for bone marrow aspirate differential counts: initial development focusing on nonneoplastic cells.

Bone marrow aspirate (BMA) differential cell counts (DCCs) are critical for the classification of he...

Gait can reveal sleep quality with machine learning models.

Sleep quality is an important health indicator, and the current measurements of sleep rely on questi...

Super-resolution reconstruction of knee magnetic resonance imaging based on deep learning.

BACKGROUND AND OBJECTIVE: With the rapid development of medical imaging and intelligent diagnosis, a...

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