Practice Management

Staffing & Scheduling

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

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Showing 85-105 of 6,118 articles
Perspectives on data analytics for gaining a competitive advantage in football: computational approaches to tactics.

The role of data-driven analyses is becoming more prominent in football. These have the potential to...

Resource trading strategies with risk selection in collaborative training market.

The rapid development of edge computing and artificial intelligence has brought growing interest in ...

Innovating medical education using a cost effective and scalable VR platform with AI-Driven haptics.

Virtual Reality (VR) technology offers a scalable and cost-effective approach to overcome the challe...

Functionalized Nanofinger Enhances Pretrained Language Model Performance for Ultrafast Early Warning of Heart Attacks.

Heart attacks are the leading cause of death worldwide, which means an accurate early warning system...

Inversion and validation of soil water-holding capacity in a wild fruit forest, using hyperspectral technology combined with machine learning.

Soil water retention is a critical aspect of water conservation. To quantitatively assess the Soil W...

Multi robot exploration using an advanced multi-objective salp swarm algorithm for efficient coverage and performance.

This work introduces the Advanced Multi-Objective Salp Swarm Algorithm Exploration Technique (AMET),...

Salivary Biomarkers in Periodontal Disease: Revolutionizing Early Detection and Precision Dentistry.

This review explores the transformative potential of salivary biomarkers in revolutionizing periodon...

A multimodal dataset for training deep learning models aimed at detecting and analyzing sleep apnea.

Sleep Apnea Syndrome (SAS) is a serious respiratory disorder that can lead to a range of complicatio...

Quantum equilibrium propagation for efficient training of quantum systems based on Onsager reciprocity.

The widespread adoption of machine learning and artificial intelligence in all branches of science a...

Getting by with a little help from avatar friends: Use of AI-powered avatars to implement feedback training for faculty.

Delivering feedback is a critical skill that remains widely underdeveloped among medical educators. ...

A multi-stage training and deep supervision based segmentation approach for 3D abdominal multi-organ segmentation.

Accurate X-ray Computed tomography (CT) image segmentation of the abdominal organs is fundamental fo...

Roadmap for Commercial Nanomedicine Development: Integrating Quality by Design Principles with Pharmaceutical Nanotechnology.

Integrating Quality by Design (QbD) principles into nanomedicine development marks a paradigm shift ...

Machine Learning-Based Retention Time Prediction Tool for Routine LC-MS Data Analysis.

Accurate retention time () prediction models can significantly improve liquid chromatography-mass sp...

Enhancing pathological feature discrimination in diabetic retinopathy multi-classification with self-paced progressive multi-scale training.

Diabetic retinopathy (DR) is a common diabetes complication that presents significant diagnostic cha...

Artificial intelligence (AI) in New Psychoactive Substances (NPS) analysis: state-of-art and future perspectives.

Analytical toxicology is a discipline of forensic toxicology which applies analytical techniques for...

Investigation of spark ignition engine performance in ethanol-petrol blended fuels using artificial neural network.

The increasing global cost of fossil fuels and growing environmental concerns have accelerated the s...

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