Practice Management

Staffing & Scheduling

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

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Showing 1828-1848 of 2,458 articles
Potential roles for artificial intelligence in clinical microbiology from improved diagnostic accuracy to solving the staffing crisis.

OBJECTIVES: This review summarizes the current and potential uses of artificial intelligence (AI) in...

Feb 2025 39136261
Protecting Intellectual Property of EEG-based Neural Networks with Watermarking

EEG-based neural networks, pivotal in medical diagnosis and brain-computer interfaces, face signif...

Multi-Site rs-fMRI Domain Alignment for Autism Spectrum Disorder Auxiliary Diagnosis Based on Hyperbolic Space

Increasing the volume of training data can enable the auxiliary diagnostic algorithms for Autism S...

Convolutional Deep Colorization for Image Compression: A Color Grid Based Approach

The search for image compression optimization techniques is a topic of constant interest both in a...

Transforming Student Evaluation with Adaptive Intelligence and Performance Analytics

The development in Artificial Intelligence (AI) offers transformative potential for redefining stu...

Microdroplet-Based Communications with Frequency Shift Keying Modulation

Droplet-based communications has been investigated as a more robust alternative to diffusion-based...

No Images, No Problem: Retaining Knowledge in Continual VQA with Questions-Only Memory

Continual Learning in Visual Question Answering (VQACL) requires models to learn new visual-lingui...

Kronecker Mask and Interpretive Prompts are Language-Action Video Learners

Contrastive language-image pretraining (CLIP) has significantly advanced image-based vision learni...

AI-driven materials design: a mini-review

Materials design is an important component of modern science and technology, yet traditional appro...

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation

Code review is an important practice in software development, yet it is time-consuming and require...

FALCON: Fine-grained Activation Manipulation by Contrastive Orthogonal Unalignment for Large Language Model

Large language models have been widely applied, but can inadvertently encode sensitive or harmful ...

Adapting Foundation Models for Few-Shot Medical Image Segmentation: Actively and Sequentially

Recent advances in foundation models have brought promising results in computer vision, including ...

ModServe: Scalable and Resource-Efficient Large Multimodal Model Serving

Large multimodal models (LMMs) demonstrate impressive capabilities in understanding images, videos...

Machine Learning in Optimising Nursing Care Delivery Models: An Empirical Analysis of Hospital Wards.

OBJECTIVE: This study aims to assess the performance of machine learning (ML) techniques in optimisi...

Feb 2025 39835767
AFFIPred: AlphaFold2 structure-based Functional Impact Prediction of missense variations.

Protein structure holds immense potential for pathogenicity prediction, albeit structure-based predi...

Feb 2025 39840793
The Impact of AI-driven Remote Patient Monitoring on Cancer Care: A Systematic Review.

The coronavirus disease 2019 (COVID-19) pandemic necessitated a shift in healthcare delivery, emphas...

Feb 2025 39890180
Trust and Trustworthiness from Human-Centered Perspective in HRI -- A Systematic Literature Review

The Industry 5.0 transition highlights EU efforts to design intelligent devices that can work alon...

Prompt-Aware Scheduling for Efficient Text-to-Image Inferencing System

Traditional ML models utilize controlled approximations during high loads, employing faster, but l...

Real Time Scheduling Framework for Multi Object Detection via Spiking Neural Networks

Given the energy constraints in autonomous mobile agents (AMAs), such as unmanned vehicles, spikin...

Text-to-Image Generation for Vocabulary Learning Using the Keyword Method

The 'keyword method' is an effective technique for learning vocabulary of a foreign language. It i...

LSU-Net: Lightweight Automatic Organs Segmentation Network For Medical Images

UNet and its variants have widespread applications in medical image segmentation. However, the sub...

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