Practice Management

Staffing & Scheduling

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

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Showing 1639-1659 of 6,167 articles
Improving performance of deep learning models using 3.5D U-Net via majority voting for tooth segmentation on cone beam computed tomography.

Deep learning allows automatic segmentation of teeth on cone beam computed tomography (CBCT). Howeve...

Evaluating the Impact of Assessment Metrics for Simulated Central Venous Catheterization Training.

INTRODUCTION: Performance assessment and feedback are critical factors in successful medical simulat...

Use of synthetic images for training a deep learning model for weed detection and biomass estimation in cotton.

Site-specific treatment of weeds in agricultural landscapes has been gaining importance in recent ye...

A class of doubly stochastic shift operators for random graph signals and their boundedness.

A class of doubly stochastic graph shift operators (GSO) is proposed, which is shown to exhibit: (i)...

The use of deep learning in interventional radiotherapy (brachytherapy): A review with a focus on open source and open data.

Deep learning advanced to one of the most important technologies in almost all medical fields. Espec...

Neurology education in the era of artificial intelligence.

PURPOSE OF REVIEW: The practice of neurology is undergoing a paradigm shift because of advances in t...

Continual learning with attentive recurrent neural networks for temporal data classification.

Continual learning is an emerging research branch of deep learning, which aims to learn a model for ...

Body weight-supported gait training for patients with spinal cord injury: a network meta-analysis of randomised controlled trials.

Different body weight-supported gait-training strategies are available for improving ambulation in i...

Artificial Intelligence You Can Trust: What Matters Beyond Performance When Applying Artificial Intelligence to Renal Histopathology?

Although still in its infancy, artificial intelligence (AI) analysis of kidney biopsy images is anti...

Scalable graph neural network for NMR chemical shift prediction.

Graph neural networks (GNNs) have been proven effective in the fast and accurate prediction of nucle...

A Method for Expanding the Training Set of White Blood Cell Images.

In medicine, the count of different types of white blood cells can be used as the basis for diagnosi...

Model-based Deep Learning Reconstruction Using a Folded Image Training Strategy for Abdominal 3D T1-weighted Imaging.

PURPOSE: To evaluate the feasibility of folded image training strategy (FITS) and the quality of ima...

Development of Liquid Chromatographic Retention Index Based on Cocamide Diethanolamine Homologous Series (C()-DEA).

There is a growing need for indexing and harmonizing retention time (tR) data in liquid chromatograp...

A Novel Deep Neural Network Method for HAR-Based Team Training Using Body-Worn Inertial Sensors.

Human activity recognition (HAR) became a challenging issue in recent years. In this paper, we propo...

Transferability of robotic console skills by early robotic surgeons: a multi-platform crossover trial of simulation training.

Robotic surgical training is undergoing a period of transition now that new robotic operating platfo...

Compact Image-Style Transfer: Channel Pruning on the Single Training of a Network.

Recent image-style transfer methods use the structure of a VGG feature network to encode and decode ...

Overcoming challenges of translating deep-learning models for glioblastoma: the ZGBM consortium.

OBJECTIVE: To report imaging protocol and scheduling variance in routine care of glioblastoma patien...

Predicting walking-to-work using street-level imagery and deep learning in seven Canadian cities.

New 'big data' streams such as street-level imagery are offering unprecedented possibilities for dev...

Prototype early diagnostic model for invasive pulmonary aspergillosis based on deep learning and big data training.

BACKGROUND: Currently, the diagnosis of invasive pulmonary aspergillosis (IPA) mainly depends on the...

Teaching, Learning and Assessing Anatomy with Artificial Intelligence: The Road to a Better Future.

Anatomy is taught in the early years of an undergraduate medical curriculum. The subject is volatile...

Video labelling robot-assisted radical prostatectomy and the role of artificial intelligence (AI): training a novice.

Video labelling is the assigning of meaningful information to raw videos. With the evolution of arti...

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