Practice Management

Staffing & Scheduling

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

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Showing 1618-1638 of 2,458 articles
Flashbacks to Harmonize Stability and Plasticity in Continual Learning

We introduce Flashback Learning (FL), a novel method designed to harmonize the stability and plast...

Label-shift robust federated feature screening for high-dimensional classification

Distributed and federated learning are important tools for high-dimensional classification of larg...

Artificial intelligence applications in rare and intractable diseases: Advances, challenges, and future directions.

Rare and intractable diseases affect an estimated 3.5% to 5.9% of the global population but remain l...

May 2025 40485885
Unleashing the Power of Intermediate Domains for Mixed Domain Semi-Supervised Medical Image Segmentation

Both limited annotation and domain shift are prevalent challenges in medical image segmentation. T...

VITON-DRR: Details Retention Virtual Try-on via Non-rigid Registration

Image-based virtual try-on aims to fit a target garment to a specific person image and has attract...

Energy-Efficient QoS-Aware Scheduling for S-NUCA Many-Cores

Optimizing performance and energy efficiency in many-core processors, especially within Non-Unifor...

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems

Object detection is a cornerstone of environmental perception in advanced driver assistance system...

WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver-Assistance Systems

Object detection is a cornerstone of environmental perception in advanced driver assistance system...

Training Free Stylized Abstraction

Stylized abstraction synthesizes visually exaggerated yet semantically faithful representations of...

Targeted Unlearning Using Perturbed Sign Gradient Methods With Applications On Medical Images

Machine unlearning aims to remove the influence of specific training samples from a trained model ...

Simulating the Unseen: Crash Prediction Must Learn from What Did Not Happen

Traffic safety science has long been hindered by a fundamental data paradox: the crashes we most w...

Not All Thats Rare Is Lost: Causal Paths to Rare Concept Synthesis

Diffusion models have shown strong capabilities in high-fidelity image generation but often falter...

Temporal Saliency-Guided Distillation: A Scalable Framework for Distilling Video Datasets

Dataset distillation (DD) has emerged as a powerful paradigm for dataset compression, enabling the...

InstGenIE: Generative Image Editing Made Efficient with Mask-aware Caching and Scheduling

Generative image editing using diffusion models has become a prevalent application in today's AI c...

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation

We present OvSGTR, a novel transformer-based framework for fully open-vocabulary scene graph gener...

PHI: Bridging Domain Shift in Long-Term Action Quality Assessment via Progressive Hierarchical Instruction

Long-term Action Quality Assessment (AQA) aims to evaluate the quantitative performance of actions...

Decoupling Spatio-Temporal Prediction: When Lightweight Large Models Meet Adaptive Hypergraphs

Spatio-temporal prediction is a pivotal task with broad applications in traffic management, climat...

Task Memory Engine: Spatial Memory for Robust Multi-Step LLM Agents

Large Language Models (LLMs) falter in multi-step interactions -- often hallucinating, repeating a...

Enhancing patient rehabilitation outcomes: artificial intelligence-driven predictive modeling for home discharge in neurological and orthopedic conditions.

In recent years, the fusion of the medical and computer science domains has gained significant tract...

May 2025 40420280
Adaptive Diffusion Guidance via Stochastic Optimal Control

Guidance is a cornerstone of modern diffusion models, playing a pivotal role in conditional genera...

Towards Generalized Proactive Defense against Face Swapping with Contour-Hybrid Watermark

Face swapping, recognized as a privacy and security concern, has prompted considerable defensive r...

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