Practice Management

Staffing & Scheduling

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

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Showing 1975-1995 of 2,458 articles
A Universal Degradation-based Bridging Technique for Domain Adaptive Semantic Segmentation

Semantic segmentation often suffers from significant performance degradation when the trained netw...

Familiarity: Better Evaluation of Zero-Shot Named Entity Recognition by Quantifying Label Shifts in Synthetic Training Data

Zero-shot named entity recognition (NER) is the task of detecting named entities of specific types...

Early Detection of At-Risk Students Using Machine Learning

This research presents preliminary work to address the challenge of identifying at-risk students u...

From Bench to Bedside: A Review of Clinical Trials in Drug Discovery and Development

Clinical trials are an indispensable part of the drug development process, bridging the gap betwee...

Empirical Measurements of AI Training Power Demand on a GPU-Accelerated Node

The expansion of artificial intelligence (AI) applications has driven substantial investment in co...

AsyncDSB: Schedule-Asynchronous Diffusion Schrödinger Bridge for Image Inpainting

Image inpainting is an important image generation task, which aims to restore corrupted image from...

Research on the Application of Spark Streaming Real-Time Data Analysis System and large language model Intelligent Agents

This study explores the integration of Agent AI with LangGraph to enhance real-time data analysis ...

Explaining and Mitigating the Modality Gap in Contrastive Multimodal Learning

Multimodal learning has recently gained significant popularity, demonstrating impressive performan...

Efficient VoIP Communications through LLM-based Real-Time Speech Reconstruction and Call Prioritization for Emergency Services

Emergency communication systems face disruptions due to packet loss, bandwidth constraints, poor s...

Knowledge Transfer and Domain Adaptation for Fine-Grained Remote Sensing Image Segmentation

Fine-grained remote sensing image segmentation is essential for accurately identifying detailed ob...

Precise, Fast, and Low-cost Concept Erasure in Value Space: Orthogonal Complement Matters

Recent success of text-to-image (T2I) generation and its increasing practical applications, enable...

Employee Well-being in the Age of AI: Perceptions, Concerns, Behaviors, and Outcomes

The growing integration of Artificial Intelligence (AI) into Human Resources (HR) processes has tr...

Reflective Teacher: Semi-Supervised Multimodal 3D Object Detection in Bird's-Eye-View via Uncertainty Measure

Applying pseudo labeling techniques has been found to be advantageous in semi-supervised 3D object...

CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance

Beyond the success of Contrastive Language-Image Pre-training (CLIP), recent trends mark a shift t...

Exploring Real&Synthetic Dataset and Linear Attention in Image Restoration

Image restoration (IR) aims to recover high-quality images from degraded inputs, with recent deep ...

A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for Accelerating Large VLMs

Vision-language models (VLMs) have shown remarkable success across various multi-modal tasks, yet ...

Were You Helpful -- Predicting Helpful Votes from Amazon Reviews

This project investigates factors that influence the perceived helpfulness of Amazon product revie...

The use of large language models to enhance cancer clinical trial educational materials

Cancer clinical trials often face challenges in recruitment and engagement due to a lack of partic...

RaD: A Metric for Medical Image Distribution Comparison in Out-of-Domain Detection and Other Applications

Determining whether two sets of images belong to the same or different domain is a crucial task in...

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