Orthopedics

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

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Continuous Estimation of Knee Joint Angle Based on Surface Electromyography Using a Long Short-Term Memory Neural Network and Time-Advanced Feature.

Continuous joint angle estimation based on a surface electromyography (sEMG) signal can be used to i...

Automatic Vertebral Body Segmentation Based on Deep Learning of Dixon Images for Bone Marrow Fat Fraction Quantification.

Bone marrow fat (BMF) fraction quantification in vertebral bodies is used as a novel imaging biomar...

Relation of vitamin D and BsmI variant with temporomandibular diseases in the Turkish population.

Vitamin D (VD) levels and several variants in the vitamin D receptor (VDR) gene are associated with ...

Mechanics of walking and running up and downhill: A joint-level perspective to guide design of lower-limb exoskeletons.

Lower-limb wearable robotic devices can improve clinical gait and reduce energetic demand in healthy...

Development of Convolutional Neural Networks to identify bone metastasis for prostate cancer patients in bone scintigraphy.

OBJECTIVE: The main aim of this work is to build a robust Convolutional Neural Network (CNN) algorit...

End-to-End Training for Compound Expression Recognition.

For a long time, expressions have been something that human beings are proud of. That is an essentia...

Detachment of the remora suckerfish disc: kinematics and a bio-inspired robotic model.

Remora suckerfish can attach to a wide diversity of marine hosts, however, their detachment mechanis...

A bio-inspired robotic fish utilizes the snap-through buckling of its spine to generate accelerations of more than 20g.

Inspired by the fastest observed live fishes, we have designed, built and tested a robotic fish that...

Applications of Artificial Intelligence in Musculoskeletal Imaging: From the Request to the Report.

Artificial intelligence (AI) will transform every step in the imaging value chain, including interpr...

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model.

Machine learning (ML) algorithms permit the integration of different features into a model to perfor...

Deep learning method for localization and segmentation of abdominal CT.

Computed Tomography (CT) imaging is widely used for studying body composition, i.e., the proportion ...

Bone metastasis classification using whole body images from prostate cancer patients based on convolutional neural networks application.

Bone metastasis is one of the most frequent diseases in prostate cancer; scintigraphy imaging is par...

Improved recurrent neural network-based manipulator control with remote center of motion constraints: Experimental results.

In this paper, an improved recurrent neural network (RNN) scheme is proposed to perform the trajecto...

Image Target Recognition via Mixed Feature-Based Joint Sparse Representation.

An image target recognition approach based on mixed features and adaptive weighted joint sparse repr...

Optic Disc Classification by Deep Learning versus Expert Neuro-Ophthalmologists.

OBJECTIVE: To compare the diagnostic performance of an artificial intelligence deep learning system ...

Interpretability of Input Representations for Gait Classification in Patients after Total Hip Arthroplasty.

Many machine learning models show black box characteristics and, therefore, a lack of transparency, ...

Robot-assisted double screw fixation of minimally displaced scaphoid waist fracture nonunions or delayed unions without bone graft.

We retrospectively reviewed 12 minimally displaced fractures of the scaphoid waist in 12 patients wh...

Iterative Learning Control for a Soft Exoskeleton with Hip and Knee Joint Assistance.

Walking on different terrains leads to different biomechanics, which motivates the development of ex...

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