Practice Management

Staffing & Scheduling

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

6,124 articles
Stay Ahead - Weekly Staffing & Scheduling research updates
Subscribe
Browse Specialties
Showing 547-567 of 6,124 articles
Preliminary investigation of an artificial intelligence-based cognitive behavioral therapy training tool.

We developed an asynchronous online cognitive behavioral therapy (CBT) training tool that provides a...

QuanFormer: A Transformer-Based Precise Peak Detection and Quantification Tool in LC-MS-Based Metabolomics.

In metabolomic analysis based on liquid chromatography coupled with mass spectrometry, detecting and...

Enhancing Activation Energy Predictions under Data Constraints Using Graph Neural Networks.

Accurately predicting activation energies is crucial for understanding chemical reactions and modeli...

Colorectal cancer detection with enhanced precision using a hybrid supervised and unsupervised learning approach.

The current work introduces the hybrid ensemble framework for the detection and segmentation of colo...

Combining various training and adaptation algorithms for ensemble few-shot classification.

To mitigate the shortage of labeled data, Few-Shot Classification (FSC) methods train deep neural ne...

Predicting biomass conversion and COD removal in wastewater treatment by phototrophic bacteria with interpretable machine learning.

Photosynthetic bacteria (PSB) excel in wastewater treatment by removing pollutants and generating bi...

Machine Learning-Based Resource Management in Fog Computing: A Systematic Literature Review.

This systematic literature review analyzes machine learning (ML)-based techniques for resource manag...

Machine learning validation of the AVAS classification compared to ultrasound mapping in a multicentre study.

The Arteriovenous Access Stage (AVAS) classification simplifies information about suitability of ves...

From Sea Cucumbers to Soft Robots: A Photothermal-Responsive Hydrogel Actuator with Shape Memory.

Soft robotics has undergone considerable progress driven by materials that can effectively transduce...

Predicting Robotic Hysterectomy Incision Time: Optimizing Surgical Scheduling with Machine Learning.

BACKGROUND AND OBJECTIVES: Operating rooms (ORs) are critical for hospital revenue and cost manageme...

Predicting work ability impairment in post COVID-19 patients: a machine learning model based on clinical parameters.

The Post COVID-19 condition (PCC) is a complex disease affecting health and everyday functioning. Th...

ABCoRT: Retention Time Prediction for Metabolite Identification via Atom-Bond Co-Learning.

Liquid chromatography retention time (RT) prediction plays a crucial role in metabolite identificati...

The regulatory landscape of 5' UTRs in translational control during zebrafish embryogenesis.

The 5' UTRs of mRNAs are critical for translation regulation during development, but their in vivo r...

Novel Machine-Learning Modeling of Facial Trauma Volume With Regional Event and Weather Data.

OBJECTIVE: Facial trauma volume is difficult to predict accurately. We aim to understand the capacit...

Artificial neural networks to estimate the sorption and desorption of the herbicide linuron in Brazilian soils.

Generally, herbicides used in Brazil follow manufacturer's recommendations, which often do not consi...

Design and Validation of a Pancake Style Planetary Gearbox for an Eddy Current-Based Wearable Gait Training Robot.

Eddy current brakes have been recently used for functional resistance training in individuals with n...

Robot-Aided Training of Propulsion: Effects of Torque Pulses Applied to the Hip and Knee Joint Under User-Driven Treadmill Control.

OBJECTIVE: to establish whether torque pulses applied by an exoskeleton to the hip and knee joint mo...

Browse Specialties