Staffing & Scheduling

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 ...

Virtual Reality Environments and Haptic Strategies to Enhance Implicit Learning and Motivation in Robot-Assisted Training.

Motivation plays a crucial role in motor learning and neurorehabilitation. Participants' motivation ...

Multi-purpose Robotic Training Strategies for Neurorehabilitation with Model Predictive Controllers.

One of the main challenges in robotic neuroreha-bilitation is to understand how robots should physic...

May I Keep an Eye on Your Training? Gait Assessment Assisted by a Mobile Robot.

A successful rehabilitation after surgery in hip endoprosthetics comprises self-training of the less...

A robot-assisted sensorimotor training program can improve proprioception and motor function in stroke survivors.

Proprioceptive deficits are common among stroke survivors and are associated with slower motor recov...

Visual Biofeedback of Force Information for Eccentric Training of Hemiplegic Patients.

Motor learning issues for hemiplegics not only include motor impairments such as spastic paralysis, ...

Robot-Aided Upper-limb Proprioceptive Training in Three-Dimensional Space.

Proprioception, the ability to sense body position and limb movements in space without visual feedba...

Robot-assisted locomotor training did not improve walking function in patients with chronic incomplete spinal cord injury: A randomized clinical trial.

OBJECTIVE: To assess the effects of robot-assisted locomotor training in patients with chronic incom...

Artificial Intelligence in Medical Imaging.

Artificial intelligence (AI) has existed for decades and continues to evolve as technology advances....

A Machine Learning-Based Predictive Model of Return to Work After Sick Leave.

OBJECTIVE: This study aims to build a predictive model for "return to work" (RTW) after sick leave b...

Nurses "Seeing Forest for the Trees" in the Age of Machine Learning: Using Nursing Knowledge to Improve Relevance and Performance.

Although machine learning is increasingly being applied to support clinical decision making, there i...

Is Electromechanical and Robot-Assisted Arm Training Effective for Improving Arm Function in People Who Have Had a Stroke?: A Cochrane Review Summary With Commentary.

Breast Cancer Diagnosis in Digital Breast Tomosynthesis: Effects of Training Sample Size on Multi-Stage Transfer Learning Using Deep Neural Nets.

In this paper, we developed a deep convolutional neural network (CNN) for the classification of mali...

Policies designed for drugs won't work for AI.

Technology Is Transforming Work for Nurses and Care for Patients.

Robots, artificial intelligence, and digital displays are among the changes.

Rhythmic robotic training enhances motor skills of both rhythmic and discrete upper-limb movements after stroke: a longitudinal pilot study.

Discrete and rhythmic movements are two fundamental motor primitives being, at least partially, cont...

RRAM-based synapse devices for neuromorphic systems.

Hardware artificial neural network (ANN) systems with high density synapse array devices can perform...

The role of robotic gait training and tDCS in Friedrich ataxia rehabilitation: A case report.

RATIONALE: Friedrich ataxia (FA) is the most common inherited neurodegenerative cerebellar ataxic sy...

Efficacy of end-effector Robot-Assisted Gait Training in subacute stroke patients: Clinical and gait outcomes from a pilot bi-centre study.

BACKGROUND: End-effector robots allow intensive gait training in stroke subjects and promote a succe...

Improvement of motor performance in children with cerebral palsy treated with exoskeleton robotic training: A retrospective explorative analysis.

BACKGROUND: Robot-assisted gait training (RAGT) is widely used in children with cerebral palsy (CP),...