Staffing & Scheduling

Clinical non-superiority of technology-assisted gait training with body weight support in patients with subacute stroke: A meta-analysis.

BACKGROUND: Technology-assisted gait training (TAGT) with body weight support (BWS) has been designe...

Qualitative, Exploratory, and Multidimensional Study of Telepresence Robots for Overcoming Social Isolation of Children and Adolescents Hospitalized in Onco-Hematology.

Treatment of pediatric cancers and hematological malignancies requires long periods of isolation in...

Environmental odour management by artificial neural network - A review.

Unwanted odour emissions are considered air pollutants that may cause detrimental impacts to the env...

A Virtual Counseling Application Using Artificial Intelligence for Communication Skills Training in Nursing Education: Development Study.

BACKGROUND: The ability of nursing undergraduates to communicate effectively with health care provid...

Steroid identification via deep learning retention time predictions and two-dimensional gas chromatography-high resolution mass spectrometry.

Untargeted steroid identification represents a great analytical challenge even when using sophistica...

Detection of Participation and Training Task Difficulty Applied to the Multi-Sensor Systems of Rehabilitation Robots.

In the process of rehabilitation training for stroke patients, the rehabilitation effect is positive...

Deep-Learning-Based Neural Tissue Segmentation of MRI in Multiple Sclerosis: Effect of Training Set Size.

BACKGROUND: The dependence of deep-learning (DL)-based segmentation accuracy of brain MRI on the tra...

Training for Walking Efficiency With a Wearable Hip-Assist Robot in Patients With Stroke: A Pilot Randomized Controlled Trial.

Background and Purpose- The purpose of this study was to investigate the effects of gait training wi...

Prediction of lung cancer risk at follow-up screening with low-dose CT: a training and validation study of a deep learning method.

BACKGROUND: Current lung cancer screening guidelines use mean diameter, volume or density of the lar...

Spiking Neural Networks applied to the classification of motor tasks in EEG signals.

Motivated by the recent progress of Spiking Neural Network (SNN) models in pattern recognition, we r...

Use of Machine Learning to Model Volume Load Effects on Changes in Jump Performance.

PURPOSE: To use an artificial neural network (ANN) to model the effect of 15 weeks of resistance tra...

A microsurgical robot research platform for robot-assisted microsurgery research and training.

PURPOSE: Ocular surgery, ear, nose and throat surgery and neurosurgery are typical types of microsur...

ICU staffing feature phenotypes and their relationship with patients' outcomes: an unsupervised machine learning analysis.

PURPOSE: To study whether ICU staffing features are associated with improved hospital mortality, ICU...

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening.

We present a deep convolutional neural network for breast cancer screening exam classification, trai...

KETOS: Clinical decision support and machine learning as a service - A training and deployment platform based on Docker, OMOP-CDM, and FHIR Web Services.

BACKGROUND AND OBJECTIVE: To take full advantage of decision support, machine learning, and patient-...

A Robust Balance-Control Framework for the Terrain-Blind Bipedal Walking of a Humanoid Robot on Unknown and Uneven Terrain.

Research on a terrain-blind walking control that can walk stably on unknown and uneven terrain is an...

Effect of Robot-Assisted Gait Training in a Large Population of Children With Motor Impairment Due to Cerebral Palsy or Acquired Brain Injury.

OBJECTIVE: To evaluate retrospectively the effect of robotic rehabilitation in a large group of chil...

Delineating the effects of hot-melt extrusion on the performance of a polymeric film using artificial neural networks and an evolutionary algorithm.

The aim of this study was to utilize an artificial neural network (ANN) in conjunction with an evolu...

Multicenter, Scan-Rescan, Human and Machine Learning CMR Study to Test Generalizability and Precision in Imaging Biomarker Analysis: A Solid Basis for Future Work.

Progressive Transfer Learning and Adversarial Domain Adaptation for Cross-Domain Skin Disease Classification.

Deep learning has been used to analyze and diagnose various skin diseases through medical imaging. H...

Making the Jump: A Qualitative Analysis on the Transition From Bedside Assistant to Console Surgeon in Robotic Surgery Training.

OBJECTIVE: To determine barriers associated with the transition from bedside assistant to console su...