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Universal precautions

Latest AI and machine learning research in universal precautions for healthcare professionals.

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Showing 1807-1827 of 3,004 articles
SprayCraft: Graph-Based Route Optimization for Variable Rate Precision Spraying

To efficiently manage plant diseases, Agriculture Cyber-Physical Systems (A-CPS) have been develop...

EOV-Seg: Efficient Open-Vocabulary Panoptic Segmentation

Open-vocabulary panoptic segmentation aims to segment and classify everything in diverse scenes ac...

Lightweight Method for Interactive 3D Medical Image Segmentation with Multi-Round Result Fusion

In medical imaging, precise annotation of lesions or organs is often required. However, 3D volumet...

GN-FR:Generalizable Neural Radiance Fields for Flare Removal

Flare, an optical phenomenon resulting from unwanted scattering and reflections within a lens syst...

[MASK] is All You Need

In generative models, two paradigms have gained attraction in various applications: next-set predi...

The Helicobacter pylori AI-Clinician: Harnessing Artificial Intelligence to Personalize H. pylori Treatment Recommendations

Helicobacter pylori (H. pylori) is the most common carcinogenic pathogen worldwide. Infecting roug...

RefSAM3D: Adapting SAM with Cross-modal Reference for 3D Medical Image Segmentation

The Segment Anything Model (SAM), originally built on a 2D Vision Transformer (ViT), excels at cap...

Mask-Adapter: The Devil is in the Masks for Open-Vocabulary Segmentation

Recent open-vocabulary segmentation methods adopt mask generators to predict segmentation masks an...

Multi-scale phylodynamic modelling of rapid punctuated pathogen evolution

Computational multi-scale pandemic modelling remains a major and timely challenge. Here we identif...

MRGen: Segmentation Data Engine For Underrepresented MRI Modalities

Training medical image segmentation models for rare yet clinically significant imaging modalities ...

PEMF-VTO: Point-Enhanced Video Virtual Try-on via Mask-free Paradigm

Video Virtual Try-on aims to seamlessly transfer a reference garment onto a target person in a vid...

Unsupervised Network for Single Image Raindrop Removal

Image quality degradation caused by raindrops is one of the most important but challenging problem...

EchoONE: Segmenting Multiple echocardiography Planes in One Model

In clinical practice of echocardiography examinations, multiple planes containing the heart struct...

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation

Despite remarkable progress in image generation models, generating realistic hands remains a persi...

MFTF: Mask-free Training-free Object Level Layout Control Diffusion Model

Text-to-image generation models have revolutionized content creation, but diffusion-based vision-l...

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control

Recently, diffusion models have exhibited superior performance in the area of image inpainting. In...

MeasureNet: Measurement Based Celiac Disease Identification

Celiac disease is an autoimmune disorder triggered by the consumption of gluten. It causes damage ...

Survival causal rule ensemble method considering the main effect for estimating heterogeneous treatment effects.

With an increasing focus on precision medicine in medical research, numerous studies have been condu...

Nov 2024 39576217
Gradient-Guided Parameter Mask for Multi-Scenario Image Restoration Under Adverse Weather

Removing adverse weather conditions such as rain, raindrop, and snow from images is critical for v...

Applications of Machine Learning on Electronic Health Record Data to Combat Antibiotic Resistance.

There is growing excitement about the clinical use of artificial intelligence and machine learning (...

Nov 2024 38995050
Identifying Virulence Determinants In Pathogenic Mycobacteria Via Changes In Host Cell Mitochondrial Morphology

The goal of this study is to develop a computational model of the progression of changes in mitoch...

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