Orthopedics

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

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Showing 2290-2310 of 5,212 articles
John Charnley Award: Deep Learning Prediction of Hip Joint Center on Standard Pelvis Radiographs.

BACKGROUND: Accurate hip joint center (HJC) determination is critical for preoperative planning, int...

Impact of the training loss in deep learning-based CT reconstruction of bone microarchitecture.

PURPOSE: Computed tomography (CT) is a technique of choice to image bone structure at different scal...

Fast Kinematic Re-Calibration for Industrial Robot Arms.

Accurate kinematic modelling is pivotal in the safe and reliable execution of both contact and non-c...

BirdBot achieves energy-efficient gait with minimal control using avian-inspired leg clutching.

Designers of legged robots are challenged with creating mechanisms that allow energy-efficient locom...

Multi-landmark environment analysis with reinforcement learning for pelvic abnormality detection and quantification.

Morphological abnormalities of the femoroacetabular (hip) joint are among the most common human musc...

Computer-Aided Diagnosis for Determining Sagittal Spinal Curvatures Using Deep Learning and Radiography.

Analyzing spinal curvatures manually is time-consuming and tedious for clinicians, and intra-observe...

Deep Correlated Joint Network for 2-D Image-Based 3-D Model Retrieval.

In this article, we propose a novel deep correlated joint network (DCJN) approach for 2-D image-base...

Application Analysis of Combining BP Neural Network and Logistic Regression in Human Resource Management System.

Human resource management involves a variety of data processing, and the process is complicated. In ...

Deep Multi-Scale Fusion of Convolutional Neural Networks for EMG-Based Movement Estimation.

EMG-based motion estimation is required for applications such as myoelectric control, where the simu...

Lightweight Deep Neural Network for Articulated Joint Detection of Surgical Instrument in Minimally Invasive Surgical Robot.

Vision-based detection and tracking of surgical instrument are attractive because it relies purely o...

Automatic detection and classification of knee osteoarthritis using deep learning approach.

PURPOSE: We developed a tool for locating and grading knee osteoarthritis (OA) from digital X-ray im...

Technical note: A PET/MR coil with an integrated, orbiting 511 keV transmission source for PET/MR imaging validated in an animal study.

BACKGROUND: MR-based methods for attenuation correction (AC) in PET/MRI either neglect attenuation o...

Leveraging a Joint learning Model to Extract Mixture Symptom Mentions from Traditional Chinese Medicine Clinical Notes.

This paper addresses the mixture symptom mention problem which appears in the structuring of Traditi...

A Deep-Learning Aided Diagnostic System in Assessing Developmental Dysplasia of the Hip on Pediatric Pelvic Radiographs.

BACKGROUND: Developmental dysplasia of the hip (DDH) is a common orthopedic disease in children. In ...

Design and Control of Lightweight Bionic Arm Driven by Soft Twisted and Coiled Artificial Muscles.

Twisted and coiled actuators (TCAs), which are light but capable of producing significant power, wer...

Adversarial Joint-Learning Recurrent Neural Network for Incomplete Time Series Classification.

Incomplete time series classification (ITSC) is an important issue in time series analysis since tem...

Convolutional LSTM: a deep learning approach to predict shoulder joint reaction forces.

We developed a Convolutional LSTM (ConvLSTM) network to predict shoulder joint reaction forces using...

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