Practice Management

Staffing & Scheduling

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

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Showing 1597-1617 of 2,458 articles
SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems

Recent advances in large language models (LLMs) and vision-language models (VLMs) have enabled pow...

Training-Free Identity Preservation in Stylized Image Generation Using Diffusion Models

While diffusion models have demonstrated remarkable generative capabilities, existing style transf...

On Inverse Problems, Parameter Estimation, and Domain Generalization

Signal restoration and inverse problems are key elements in most real-world data science applicati...

Peer-Ranked Precision: Creating a Foundational Dataset for Fine-Tuning Vision Models from DataSeeds' Annotated Imagery

The development of modern Artificial Intelligence (AI) models, particularly diffusion-based models...

Quantum-Inspired Genetic Optimization for Patient Scheduling in Radiation Oncology

Among the genetic algorithms generally used for optimization problems in the recent decades, quant...

Personalized MR-Informed Diffusion Models for 3D PET Image Reconstruction

Recent work has shown improved lesion detectability and flexibility to reconstruction hyperparamet...

LRScheduler: A Layer-aware and Resource-adaptive Container Scheduler in Edge Computing

Lightweight containers provide an efficient approach for deploying computation-intensive applicati...

Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation

Universal Domain Adaptation (UniDA) focuses on transferring source domain knowledge to the target ...

NMR Pure Shift Spectroscopy and Its Potential Applications in the Pharmaceutical Industry.

H nuclear magnetic resonance (NMR) spectroscopy plays an important role in the pharmaceutical indust...

Jun 2025 40263759
Improving Knowledge Distillation Under Unknown Covariate Shift Through Confidence-Guided Data Augmentation

Large foundation models trained on extensive datasets demonstrate strong zero-shot capabilities in...

Scheduling Techniques of AI Models on Modern Heterogeneous Edge GPU -- A Critical Review

In recent years, the development of specialized edge computing devices has significantly increased...

CLIP-driven rain perception: Adaptive deraining with pattern-aware network routing and mask-guided cross-attention

Existing deraining models process all rainy images within a single network. However, different rai...

Adaptive, Efficient and Fair Resource Allocation in Cloud Datacenters leveraging Weighted A3C Deep Reinforcement Learning

Cloud data centres demand adaptive, efficient, and fair resource allocation techniques due to hete...

Shift-invariant image classification using a bicolor shadow-casting incoherent optical system.

In this study, a shift-invariant optical pattern classification system is proposed. Optical machine ...

Jun 2025 40445651
Addressing Workforce and Ethical Gaps in AI-Driven Mental Health Care: A Response to Higgins and Wilson.

Artificial intelligence (AI)-based clinical decision support systems (CDSS) hold great promise for m...

Jun 2025 40444840
Automatic head and neck tumor segmentation through deep learning and Bayesian optimization on three-dimensional medical images.

Medical imaging constitutes critical information in the diagnostic and prognostic evaluation of pati...

Jun 2025 40378562
Purification of Pharmaceuticals via Retention Time Prediction: Leveraging Graph Isomorphism Networks, Limited Data, and Transfer Learning.

The design-make-test cycle for drug discovery is highly dependent on the purification of synthesized...

Jun 2025 40457569
Artificial Intelligence and Machine Learning Innovations to Improve Design and Representativeness in Oncology Clinical Trials.

The integration of artificial intelligence (AI) and machine learning (ML) in oncology clinical trial...

Jun 2025 40403202
SSA-sMLP: A venous thromboembolism risk prediction model using separable self-attention and spatial-shift multilayer perceptrons.

Accurate risk assessment of Venous Thromboembolism (VTE) holds significant value for clinical decisi...

Jun 2025 40344789
Broadening the Net: Overcoming Challenges and Embracing Novel Technologies in Lung Cancer Screening.

Lung cancer is one of the leading causes of cancer-related mortality worldwide, with most cases diag...

Jun 2025 40334182
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