Practice Management

Staffing & Scheduling

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

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Showing 1555-1575 of 2,458 articles
Learning Camera-Agnostic White-Balance Preferences

The image signal processor (ISP) pipeline in modern cameras consists of several modules that trans...

Review of Advanced Technologies and Circular Pathways for Food Waste Valorization.

Food waste (FW) valorization provides a sustainable solution to global waste challenges by enhancing...

Jul 2025 40549968
HERCULES: Hardware accElerator foR stoChastic schedULing in hEterogeneous Systems

Efficient workload scheduling is a critical challenge in modern heterogeneous computing environmen...

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration

Edge computing enables real-time data processing closer to its source, thus improving the latency ...

Meaningful Data Erasure in the Presence of Dependencies

Data regulations like GDPR require systems to support data erasure but leave the definition of "er...

Impact of Noisy Supervision in Foundation Model Learning.

Foundation models are usually pre-trained on large-scale datasets and then adapted to different down...

Jul 2025 40117144
Approaches for Measuring and Predicting Fouling During Thermal Processing of Dairy Solutions.

Fouling during the thermal processing of dairy products remains a significant challenge, reducing op...

Jul 2025 40511546
Laryngopharyngeal Reflux Prevalence and Predictors Among Doctors.

Laryngopharyngeal reflux (LPR) refers to the retrograde flow of stomach contents into the larynx due...

Jul 2025 40503129
Deep implicit optimization enables robust learnable features for deformable image registration.

Deep Learning in Image Registration (DLIR) methods have been tremendously successful in image regist...

Jul 2025 40328129
Machine learning in biofluid mechanics: A review of recent developments.

This review paper comprehensively examines recent advancements in machine learning (ML) applications...

Jul 2025 40413894
MHS U-Net: Multi-scale hybrid subtraction network for medical image segmentation.

Medical image segmentation plays a critical role in modern clinical diagnosis. However, existing met...

Jul 2025 40435671
PBa-LLM: Privacy- and Bias-aware NLP using Named-Entity Recognition (NER)

The use of Natural Language Processing (NLP) in highstakes AI-based applications has increased sig...

Navigating with Annealing Guidance Scale in Diffusion Space

Denoising diffusion models excel at generating high-quality images conditioned on text prompts, ye...

Agent.xpu: Efficient Scheduling of Agentic LLM Workloads on Heterogeneous SoC

The proliferation of agentic Large Language Models (LLMs) on personal devices introduces a new cla...

HASD: Hierarchical Adaption for pathology Slide-level Domain-shift

Domain shift is a critical problem for pathology AI as pathology data is heavily influenced by cen...

Blending Concepts with Text-to-Image Diffusion Models

Diffusion models have dramatically advanced text-to-image generation in recent years, translating ...

Preserve Anything: Controllable Image Synthesis with Object Preservation

We introduce \textit{Preserve Anything}, a novel method for controlled image synthesis that addres...

SODA: Out-of-Distribution Detection in Domain-Shifted Point Clouds via Neighborhood Propagation

As point cloud data increases in prevalence in a variety of applications, the ability to detect ou...

TADA: Improved Diffusion Sampling with Training-free Augmented Dynamics

Diffusion models have demonstrated exceptional capabilities in generating high-fidelity images but...

Improving Diffusion-Based Image Editing Faithfulness via Guidance and Scheduling

Text-guided diffusion models have become essential for high-quality image synthesis, enabling dyna...

Prediction of remaining surgery duration based on machine learning methods and laparoscopic annotation data.

OBJECTIVES: The operating room is a fast-paced and demanding environment. Among the various factors ...

Jun 2025 40116444
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