Practice Management

Staffing & Scheduling

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

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full-FORCE: A target-based method for training recurrent networks.

Trained recurrent networks are powerful tools for modeling dynamic neural computations. We present a...

Generalized backpropagation algorithm for training second-order neural networks.

The artificial neural network is a popular framework in machine learning. To empower individual neur...

Systematic Review of Appropriate Robotic Intervention for Gait Function in Subacute Stroke Patients.

The purpose of this study was to critically evaluate the effects of robot-assisted gait training (RA...

The effects of robot assisted gait training on temporal-spatial characteristics of people with spinal cord injuries: A systematic review.

CONTEXT: Robotic assisted gait training (RAGT) technology can be used as a rehabilitation tool or as...

GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization framework.

Although deep neural networks (DNNs) are being a revolutionary power to open up the AI era, the noto...

Comparison of proximal versus distal upper-limb robotic rehabilitation on motor performance after stroke: a cluster controlled trial.

This study examined the treatment efficacy of proximal-emphasized robotic rehabilitation by using th...

The modulation of neural gain facilitates a transition between functional segregation and integration in the brain.

Cognitive function relies on a dynamic, context-sensitive balance between functional integration and...

Development of a System Architecture for Evaluation and Training of Proprioceptive Deficits of the Upper Limb.

Proprioception plays a fundamental role in maintaining posture and executing movement, and the quant...

Fuzziness-based active learning framework to enhance hyperspectral image classification performance for discriminative and generative classifiers.

Hyperspectral image classification with a limited number of training samples without loss of accurac...

Case-study of a user-driven prosthetic arm design: bionic hand versus customized body-powered technology in a highly demanding work environment.

BACKGROUND: Prosthetic arm research predominantly focuses on "bionic" but not body-powered arms. How...

Motor modules during adaptation to walking in a powered ankle exoskeleton.

BACKGROUND: Modules of muscle recruitment can be extracted from electromyography (EMG) during motion...

BioCreative VI Precision Medicine Track system performance is constrained by entity recognition and variations in corpus characteristics.

Precision medicine aims to provide personalized treatments based on individual patient profiles. One...

Annotation of phenotypes using ontologies: a gold standard for the training and evaluation of natural language processing systems.

Natural language descriptions of organismal phenotypes, a principal object of study in biology, are ...

Risk and Management of Postoperative Urinary Retention Following Spinal Surgery.

PURPOSE: Postoperative urinary retention (POUR) is a common complication after spinal surgery. Howev...

Carboxybetaine-modified succinylated chitosan-based beads encourage pancreatic β-cells (Min-6) to form islet-like spheroids under in vitro conditions.

In vitro, pancreatic β-cells tend to reduce their ability to aggregate into islets and lose insulin-...

Combining robotic training and inactivation of the healthy hemisphere restores pre-stroke motor patterns in mice.

Focal cortical stroke often leads to persistent motor deficits, prompting the need for more effectiv...

Depression and alcohol use disorder at antiretroviral therapy initiation led to disengagement from care in South Africa.

We sought to assess mental health at the time of antiretroviral therapy (ART) initiation and subsequ...

Virtual reality to augment robot-assisted gait training in non-ambulatory patients with a subacute stroke: a pilot randomized controlled trial.

BACKGROUND: Active performance is crucial for motor learning, and, together with motivation, is beli...

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