Work Force

Ensuring electronic medical record simulation through better training, modeling, and evaluation.

OBJECTIVE: Electronic medical records (EMRs) can support medical research and discovery, but privacy...

Is Robotic Gait Training Feasible in Adults With Disorders of Consciousness?

OBJECTIVE: To investigate the feasibility and safety of robotic-assisted gait training (RAGT) in adu...

[Assistant diagnose for subclinical keratoconus by artificial intelligence].

To investigate the diagnosis of normal cornea, subclinical keratoconus and keratoconus by artifical...

Artificial Intelligence Distinguishes Surgical Training Levels in a Virtual Reality Spinal Task.

BACKGROUND: With the emergence of competency-based training, the current evaluation scheme of surgic...

PycnoRacer®, a fitness drink including Pycnogenol®, improves recovery and training in the Cooper test.

BACKGROUND: This study evaluates the effects of training (on running distance measured with a Cooper...

A guide to machine learning for bacterial host attribution using genome sequence data.

With the ever-expanding number of available sequences from bacterial genomes, and the expectation th...

High Efficiency Video Coding (HEVC)-Based Surgical Telementoring System Using Shallow Convolutional Neural Network.

Surgical telementoring systems have gained lots of interest, especially in remote locations. However...

Automated Taxonomic Identification of Insects with Expert-Level Accuracy Using Effective Feature Transfer from Convolutional Networks.

Rapid and reliable identification of insects is important in many contexts, from the detection of di...

Effectiveness of over-ground robotic locomotor training in improving walking performance, cardiovascular demands, secondary complications and user-satisfaction in individuals with spinal cord injuries: A systematic review.

OBJECTIVES: To evaluate the effectiveness of over-ground robotic locomotor training in individuals w...

Knee exoskeleton enhanced with artificial intelligence to provide assistance-as-needed.

Robotic therapy is a useful method applied during rehabilitation of stroke patients (to regain motor...

Commentary on 'Robotic colorectal training-the-trainer: a commentary'.

Ankle Fracture Detection Utilizing a Convolutional Neural Network Ensemble Implemented with a Small Sample, De Novo Training, and Multiview Incorporation.

To determine whether we could train convolutional neural network (CNN) models de novo with a small d...

Fast honey classification using infrared spectrum and machine learning.

Honey has been one previous natural food in human history. However, as the supply cannot satisfy the...

Using Synthetic Training Data for Deep Learning-Based GBM Segmentation.

In this work, fully automatic binary segmentation of GBMs (glioblastoma multiforme) in 2D magnetic r...

Assessment of an ensemble of machine learning models toward abnormality detection in chest radiographs.

Respiratory diseases account for a significant proportion of deaths and disabilities across the worl...

2D Wavelet Scalogram Training of Deep Convolutional Neural Network for Automatic Identification of Micro-Scale Sharp Wave Biomarkers in the Hypoxic-Ischemic EEG of Preterm Sheep.

We have recently demonstrated that micro-scale Sharp waves in the first few hours EEG of asphyxiated...

OpenArm 2.0: Automated Segmentation of 3D Tissue Structures for Multi-Subject Study of Muscle Deformation Dynamics.

We present a novel neural-network-based pipeline for segmentation of 3D muscle and bone structures f...

Machine learning for computer-aided polyp detection using wavelets and content-based image.

The continuous growing of machine learning techniques, their capabilities improvements and the avail...

Position Based Impedance Control Strategy for a Lower Limb Rehabilitation Robot.

Active rehabilitation training can improve patients' neural engagement and the rehabilitation effect...

Training and Interpreting Machine Learning Algorithms to Evaluate Fall Risk After Emergency Department Visits.

BACKGROUND: Machine learning is increasingly used for risk stratification in health care. Achieving ...

Pre-Impact Fall Detection Using 3D Convolutional Neural Network.

Early fall detection is an important issue during gait rehabilitation training. This paper proposes ...