Practice Management

Staffing & Scheduling

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

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Showing 2920-2940 of 6,193 articles
Application of Chemometric Algorithms in the High-Performance Thin-Layer Chromatography Fingerprint of Traditional Chinese Medicines.

The use of HPTLC fingerprinting for the analysis of traditional Chinese medicines (TCMs) usually in...

Robot-assisted gait training effectively improved lateropulsion in subacute stroke patients: a single-blinded randomized controlled trial.

BACKGROUND: Some stroke patients are known to use nonparetic extremities to push toward the paretic ...

Effect of PET-MR Inconsistency in the Kernel Image Reconstruction Method.

Anatomically-driven image reconstruction algorithms have become very popular in positron emission to...

Training bioinspired sensors to classify flows.

We consider the inverse problem of classifying flow patterns from local sensory measurements. This p...

Personalized conciliation of clinical guidelines for comorbid patients through multi-agent planning.

The conciliation of multiple single-disease guidelines for comorbid patients entails solving potenti...

Brain CT and MRI medical image fusion using convolutional neural networks and a dual-channel spiking cortical model.

The aim of medical image fusion is to improve the clinical diagnosis accuracy, so the fused image is...

Wearable sensors for Parkinson's disease: which data are worth collecting for training symptom detection models.

Machine learning algorithms that use data streams captured from soft wearable sensors have the poten...

Extraction of polysaccharides under vacuum condition from stipe and their antioxidant activities in vitro.

To improve the efficiency of polysaccharide extraction, vacuum technology was used to breakdown the ...

Employing fingerprinting of medicinal plants by means of LC-MS and machine learning for species identification task.

A dataset of liquid chromatography-mass spectrometry measurements of medicinal plant extracts from 7...

Synthesizing Chest X-Ray Pathology for Training Deep Convolutional Neural Networks.

Medical datasets are often highly imbalanced with over-representation of prevalent conditions and po...

How can the presence of a surgical care practitioner improve training for staff who are learning how to scrub for robotics cases in a urology theatre?

AIM: This study examines how a surgical care practitioner can contribute to the learning needs of ju...

Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus Photographs.

The ability of deep learning architectures to identify glaucomatous optic neuropathy (GON) in fundus...

L1 -Norm Batch Normalization for Efficient Training of Deep Neural Networks.

Batch normalization (BN) has recently become a standard component for accelerating and improving the...

Effect of Stride Management Assist Gait Training for Poststroke Hemiplegia: A Single Center, Open-Label, Randomized Controlled Trial.

BACKGROUND: Poststroke gait disorders negatively impact activities of daily living. Rehabilitation f...

Computer vs human: Deep learning versus perceptual training for the detection of neck of femur fractures.

INTRODUCTION: To evaluate the accuracy of deep convolutional neural networks (DCNNs) for detecting n...

More than just co-workers: Presence of humanoid robot co-worker influences human performance.

Does the presence of a robot co-worker influence the performance of humans around it? Studies of mot...

Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study.

BACKGROUND: There is interest in using convolutional neural networks (CNNs) to analyze medical imagi...

Multi-Source Ensemble Learning for the Remote Prediction of Parkinson's Disease in the Presence of Source-Wise Missing Data.

As the collection of mobile health data becomes pervasive, missing data can make large portions of d...

Effects of different high hydrostatic pressure-treated potato starch on the processing performance of dough-like model systems.

In this study, potato starch (PS) was processed by high hydrostatic pressure (HHP) at 200, 350 and 5...

Intelligent machines, care work and the nature of practical reasoning.

BACKGROUND: The debate over the ethical implications of care robots has raised a range of concerns, ...

Artificial neural networks and player recruitment in professional soccer.

The aim was to objectively identify key performance indicators in professional soccer that influence...

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