Practice Management

Staffing & Scheduling

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

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Showing 3466-3486 of 6,203 articles
Reconstruction of partially obscured objects with a physics-driven self-training neural network.

We investigate artificial-intelligence-supported in-line holographic imaging with coherent terahertz...

A cost-effective approach using generative AI and gamification to enhance biomedical treatment and real-time biosensor monitoring.

Biosensors are crucial to the diagnosis process since they are designed to detect a specific biologi...

A Systematic Review of AI-Based Techniques for Automated Waste Classification.

Waste classification is a critical step in waste management that is time-consuming and necessitates ...

Energy-Efficient AI for Medical Diagnostics: Performance and Sustainability Analysis of ResNet and MobileNet.

Artificial intelligence (AI) has transformed medical diagnostics by enhancing the accuracy of diseas...

Virtual Enumerator's Training for Time and Motion Studies Using AI Scenarios.

This paper presents the implementation of a virtual training program for enumerators conducting Time...

Domain Shift in Part-of-Speech Tagging.

This study highlights domain shift in dataset distributions that impact machine learning performance...

A Perfect Start with Retrieval-Augmented Generation: Building a Chatbot to Support the Onboarding Process in SMEs.

The integration of new employees into a company is crucial for employee satisfaction and staff reten...

Automating Performance Status Annotation in Oncology Using Llama-3.

This work explores the automated extraction of medical information from Dutch clinical notes using L...

A Review of Challenges in Speech-Based Conversational AI for Elderly Care.

Artificially intelligent systems optimized for speech conversation are appearing at a fast pace. Suc...

German Medical NER with BERT and LLMs: The Impact of Training Data Size.

Named Entity Recognition (NER) in the medical domain often presents significant challenges due to th...

N!CA: Towards Digitalisation of Innovative Care Processes to Unburden and Empower Nurses.

Demand for nursing care will intensify in the coming decades based on demographics, chronic diseases...

Applications of machine learning and deep learning in musculoskeletal medicine: a narrative review.

Artificial intelligence (AI), with its technologies such as machine perception, robotics, natural la...

AI-driven approaches for air pollution modelling: A comprehensive systematic review.

In recent years, air quality levels have become a global issue with the rise of harmful pollutants a...

Exploring the Opportunities and Challenges of Healthcare Innovation in UK Higher Education: A Narrative Review.

: The healthcare sector is under increasing pressure due to an ageing population, rising multimorbid...

Unveiling the dark matter of the metabolome: A narrative review of bioinformatics tools for LC-HRMS-based compound annotation.

Compound annotation, including the unveiling of dark matter in the metabolomics study represents a p...

A multi-layered defense against adversarial attacks in brain tumor classification using ensemble adversarial training and feature squeezing.

Deep learning, particularly convolutional neural networks (CNNs), has proven valuable for brain tumo...

Electromechanical-assisted training for walking after stroke.

RATIONALE: Walking difficulties are common after a stroke. During rehabilitation, electromechanical ...

The Role of Artificial Intelligence in Drug Discovery and Pharmaceutical Development: A Paradigm Shift in the History of Pharmaceutical Industries.

In today's world, with an increasing patient population, the need for medications is increasing rapi...

Current Trends and Future Directions in Lumbar Spine Surgery: A Review of Emerging Techniques and Evolving Management Paradigms.

: Lumbar spine surgery has undergone significant technological transformation in recent years, drive...

Optimized SVR with nature-inspired algorithms for environmental modelling of mycotoxins in food virtual-water samples.

The accurate determination of mycotoxins in food samples is crucial to guarantee food safety and min...

Blockchain enabled collective and combined deep learning framework for COVID19 diagnosis.

The rapid spread of SARS-CoV-2 has highlighted the need for intelligent methodologies in COVID-19 di...

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