Staffing & Scheduling

Editorial Comment: Does YouTube include high-quality resources for training on laparoscopic and robotic radical prostatectomy?

Training in robot-assisted surgery.

PURPOSE OF REVIEW: The aim of this narrative review is to identify the currently available training ...

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

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

Knowledge Discovery With Machine Learning for Hospital-Acquired Catheter-Associated Urinary Tract Infections.

Massive generation of health-related data has been key in enabling the big data science initiative t...

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...

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...

Machine Learning for Phone-Based Relationship Estimation: The Need to Consider Population Heterogeneity.

Estimating the category and quality of interpersonal relationships from ubiquitous phone sensor data...

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...

Differentiation of non-small cell lung cancer and histoplasmosis pulmonary nodules: insights from radiomics model performance compared with clinician observers.

BACKGROUND: Histoplasmosis pulmonary nodules often present in computed tomography (CT) imaging with ...

Optimizing clinical trials recruitment via deep learning.

OBJECTIVE: Clinical trials, prospective research studies on human participants carried out by a dist...

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...

Deep reinforcement learning based valve scheduling for pollution isolation in water distribution network.

Public water supply facilities are vulnerable to intentional intrusion. In particular, Water Distrib...

Provenance for Biomedical Ontologies with RDF and Git.

The German Center for Lung Research (DZL) is a research network with the aim of researching respirat...

Performance evaluation of neural network assisted motion detection schemes implemented within indoor optical camera based communications.

This paper investigates the performance of the neural network (NN) assisted motion detection (MD) ov...

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...

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...

Optimizing Probability Threshold of Convolution Neural Network to Improve HRV-based Acute Stress Detection Performance.

As stress is linked to numerous emotional and physical conditions, its timely detection and proper m...

Comparison of Extreme Learning Machine and K-Nearest Neighbour Performance in Classifying EEG Signal of Normal, Poor and Capable Dyslexic Children.

Dyslexia is a specific learning difficulty associated with brain capability in processing numbers an...

Classification of Movement Direction From Electroencephalogram During Working Memory Time.

When humans perform cognitive tasks, it is necessary to hold information temporarily. This is done b...

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...