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Robot-assisted training compared with an enhanced upper limb therapy programme and with usual care for upper limb functional limitation after stroke: the RATULS three-group RCT.

BACKGROUND: Loss of arm function is common after stroke. Robot-assisted training may improve arm out...

Deep Learning Pre-training Strategy for Mammogram Image Classification: an Evaluation Study.

In this work, we assess how pre-training strategy affects deep learning performance for the task of ...

Nodule Localization in Thyroid Ultrasound Images with a Joint-Training Convolutional Neural Network.

The accurate localization of nodules in ultrasound images can convey crucial information to support ...

Machine Learning for Work Disability Prevention: Introduction to the Special Series.

Rapid development in computer technology has led to sophisticated methods of analyzing large dataset...

Role of Simulation and Artificial Intelligence in Plastic Surgery Training.

Smart Work Injury Management (SWIM) System: Artificial Intelligence in Work Disability Management.

PURPOSE: This paper aims to illustrate an example of how to set up a work injury database: the Smart...

A critical review of five machine learning-based algorithms for predicting protein stability changes upon mutation.

A number of machine learning (ML)-based algorithms have been proposed for predicting mutation-induce...

Subject-specific, Impairment-based Robotic Training of Functional Upper Limb Movements.

Significant hand and upper-limb impairment is common post-stroke. Robotic training can administer a ...

A real-time fuzzy logic biofeedback controller for freestyle swimming body posture adjustment.

Wearable body area networks (BANs) have been widely used in activity measurements for kinematic info...

Investigating muscle synergies changes after rehabilitation robotics training on stroke survivors: a pilot study.

The current knowledge about muscle synergies does not clearly explain how both rehabilitation and br...

Patient-Specific Robot-Assisted Stroke Rehabilitation Guided by EEG - A Feasibility Study.

Multi-session robot-assisted stroke rehabilitation program requires patients to perform repetitive t...

Prediction for Morphology and States of Stem Cell Colonies using a LSTM Network with Progressive Training Microscopy Images.

We present a new LSTM (P-LSTM: Progressive LSTM) network, aiming to predict morphology and states of...

Training Deep Neural Networks for Small and Highly Heterogeneous MRI Datasets for Cancer Grading.

Using medical images recorded in clinical practice has the potential to be a game-changer in the app...

Wavelet Spectral Time-Frequency Training of Deep Convolutional Neural Networks for Accurate Identification of Micro-Scale Sharp Wave Biomarkers in the Post-Hypoxic-Ischemic EEG of Preterm Sheep.

Neonatal hypoxic-ischemic encephalopathy (HIE) evolves over different phases of time during recovery...

Wavelet Spectral Deep-training of Convolutional Neural Networks for Accurate Identification of High-Frequency Micro-Scale Spike Transients in the Post-Hypoxic-Ischemic EEG of Preterm Sheep.

Early diagnosis and prognosis of babies with signs of hypoxic-ischemic encephalopathy (HIE) is curre...

TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG.

Deep learning has become popular for automatic sleep stage scoring due to its capability to extract ...

Treadmill-Based Locomotor Training With Robotic Pelvic Assist and Visual Feedback: A Feasibility Study.

BACKGROUND AND PURPOSE: Gait asymmetries are common after stroke, and often persist despite conventi...

Evaluating Performance and Interpretability of Machine Learning Methods for Predicting Delirium in Gerontopsychiatric Patients.

Delirium is an acute mental disturbance that particularly occurs during hospital stay. Current clini...

Introduction to machine and deep learning for medical physicists.

Recent years have witnessed tremendous growth in the application of machine learning (ML) and deep l...

Effects of trunk stabilization training robot on postural control and gait in patients with chronic stroke: a randomized controlled trial.

Our study aimed to confirm the therapeutic effects of using a trunk stabilization training robot (3D...

Lung Nodule Detection from Feature Engineering to Deep Learning in Thoracic CT Images: a Comprehensive Review.

This paper presents a systematic review of the literature focused on the lung nodule detection in ch...