Practice Management

Staffing & Scheduling

Latest AI and machine learning research in staffing & scheduling for healthcare professionals.

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Performance analysis of jump-gliding locomotion for miniature robotics.

Recent work suggests that jumping locomotion in combination with a gliding phase can be used as an e...

Development of a standardised training curriculum for robotic surgery: a consensus statement from an international multidisciplinary group of experts.

OBJECTIVES: To explore the views of experts about the development and validation of a robotic surger...

Facilitatory effects of anti-spastic medication on robotic locomotor training in people with chronic incomplete spinal cord injury.

BACKGROUND: The objective of this study was to investigate whether an anti-spasticity medication can...

Lokomat training in vascular dementia: motor improvement and beyond!

Vascular dementia (VaD) is a general term describing problems with reasoning, planning, judgment, me...

Robotic-assisted gait training in neurological patients: who may benefit?

Regaining one's ability to walk is of great importance for neurological patients and is a major goal...

Conventional Laparoscopic vs Robotic Training: Which is Better for Naive Users? A Randomized Prospective Crossover Study.

OBJECTIVE: Robotic training (RT) using the da Vinci skills simulator and conventional training (CT) ...

Effects of robotically modulating kinematic variability on motor skill learning and motivation.

It is unclear how the variability of kinematic errors experienced during motor training affects skil...

Pervasive Sound Sensing: A Weakly Supervised Training Approach.

Modern smartphones present an ideal device for pervasive sensing of human behavior. Microphones have...

Training spiking neural models using artificial bee colony.

Spiking neurons are models designed to simulate, in a realistic manner, the behavior of biological n...

A novel tracking algorithm via feature points matching.

Visual target tracking is a primary task in many computer vision applications and has been widely st...

Memristor-based multilayer neural networks with online gradient descent training.

Learning in multilayer neural networks (MNNs) relies on continuous updating of large matrices of syn...

Can robotic surgery be done efficiently while training residents?

INTRODUCTION: Robotic surgery is a rapidly growing area in surgery. In an era of emphasis on cost re...

Robotic natural orifice transluminal endoscopic surgery (R-NOTES): literature review and prototype system.

In minimally invasive surgery methods such as laparoscopic surgery, surgical instruments are introdu...

Decomposition of surface EMG signals from cyclic dynamic contractions.

Over the past 3 decades, various algorithms used to decompose the electromyographic (EMG) signal int...

Comparison of two simulation systems to support robotic-assisted surgical training: a pilot study (Swine model).

OBJECTIVE: To compare the efficacy of simulation-based training between the Mimic dV- Trainer and tr...

Prediction and quantifying parameter importance in simultaneous anaerobic sulfide and nitrate removal process using artificial neural network.

The present investigation deals with the prediction of the performance of simultaneous anaerobic sul...

"You gotta try it all": Parents' Experiences with Robotic Gait Training for their Children with Cerebral Palsy.

AIMS: Innovative robotic technologies hold strong promise for improving walking abilities of childre...

An effective repetitive training schedule to achieve skill proficiency using a novel robotic virtual reality simulator.

PURPOSE: A robotic virtual reality simulator (Mimic dV-Trainer) can be a useful training method for ...

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