Practice Management

Staffing & Scheduling

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

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Showing 3214-3234 of 6,196 articles
Robotic surgery training: construct validity of Global Evaluative Assessment of Robotic Skills (GEARS).

The objective of this study is to determine the ability of the GEARS scale (Global Evaluative Assess...

Scalable learning method for feedforward neural networks using minimal-enclosing-ball approximation.

Training feedforward neural networks (FNNs) is one of the most critical issues in FNNs studies. Howe...

Optimal training dataset composition for SVM-based, age-independent, automated epileptic seizure detection.

Automated seizure detection is a valuable asset to health professionals, which makes adequate treatm...

Engineering neural systems for high-level problem solving.

There is a long-standing, sometimes contentious debate in AI concerning the relative merits of a sym...

Implementing a robotics curriculum at an academic general surgery training program: our initial experience.

The robotic surgical platform is being utilized by a growing number of hospitals across the country,...

Supervised domain adaptation of decision forests: Transfer of models trained in vitro for in vivo intravascular ultrasound tissue characterization.

In this paper, we propose a supervised domain adaptation (DA) framework for adapting decision forest...

Robot Guided 'Pen Skill' Training in Children with Motor Difficulties.

Motor deficits are linked to a range of negative physical, social and academic consequences. Haptic ...

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

Training a deep convolutional neural network (CNN) from scratch is difficult because it requires a l...

Usefulness of robotic gait training plus neuromodulation in chronic spinal cord injury: a case report.

CONTEXT: Spinal cord injury (SCI) affects more than 2.5 million people worldwide, often leading to s...

MIT-Skywalker: A Novel Gait Neurorehabilitation Robot for Stroke and Cerebral Palsy.

The MIT-Skywalker is a novel robotic device developed for the rehabilitation or habilitation of gait...

Artificial Intelligence for the Evaluation of Operational Parameters Influencing Nitrification and Nitrifiers in an Activated Sludge Process.

Nitrification at a full-scale activated sludge plant treating municipal wastewater was monitored ove...

Home-Based Versus Laboratory-Based Robotic Ankle Training for Children With Cerebral Palsy: A Pilot Randomized Comparative Trial.

OBJECTIVE: To examine the outcomes of home-based robot-guided therapy and compare it to laboratory-b...

Fast Convolutional Neural Network Training Using Selective Data Sampling: Application to Hemorrhage Detection in Color Fundus Images.

Convolutional neural networks (CNNs) are deep learning network architectures that have pushed forwar...

Unbiased estimation of biomarker panel performance when combining training and testing data in a group sequential design.

Motivated by an ongoing study to develop a screening test able to identify patients with undiagnosed...

Effects on mobility training and de-adaptations in subjects with Spinal Cord Injury due to a Wearable Robot: a preliminary report.

BACKGROUND: Spinal cord injury (SCI) is a severe neurological disorder associated not only with ongo...

Bi-directional series-parallel elastic actuator and overlap of the actuation layers.

Several robotics applications require high torque-to-weight ratio and energy efficient actuators. Pr...

Training shortest-path tractography: Automatic learning of spatial priors.

Tractography is the standard tool for automatic delineation of white matter tracts from diffusion we...

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