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Universal precautions

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

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Embodied Escaping: End-to-End Reinforcement Learning for Robot Navigation in Narrow Environment

Autonomous navigation is a fundamental task for robot vacuum cleaners in indoor environments. Sinc...

Using Machine Learning Techniques to Predict Viral Suppression Among People With HIV.

BACKGROUND: This study aims to develop and examine the performance of machine learning (ML) algorith...

Mar 2025 39561000
A Machine Learning Model for Diagnosing Opportunistic Infections in HIV Patients: Broad Applicability Across Infection Types.

Opportunistic infections (OIs) are the leading cause of hospitalisation and mortality among Human Im...

Mar 2025 40122698
Autoregressive Medical Image Segmentation via Next-Scale Mask Prediction

While deep learning has significantly advanced medical image segmentation, most existing methods s...

SPU-IMR: Self-supervised Arbitrary-scale Point Cloud Upsampling via Iterative Mask-recovery Network

Point cloud upsampling aims to generate dense and uniformly distributed point sets from sparse poi...

Enhancing DNA Foundation Models to Address Masking Inefficiencies

Masked language modelling (MLM) as a pretraining objective has been widely adopted in genomic sequ...

Enhancing Image Matting in Real-World Scenes with Mask-Guided Iterative Refinement

Real-world image matting is essential for applications in content creation and augmented reality. ...

Pointmap Association and Piecewise-Plane Constraint for Consistent and Compact 3D Gaussian Segmentation Field

Achieving a consistent and compact 3D segmentation field is crucial for maintaining semantic coher...

Anatomy-Informed Deep Learning and Radiomics for Automated Neurofibroma Segmentation in Whole-Body MRI

Neurofibromatosis Type 1 is a genetic disorder characterized by the development of neurofibromas (...

Soybean pod and seed counting in both outdoor fields and indoor laboratories using unions of deep neural networks

Automatic counting soybean pods and seeds in outdoor fields allows for rapid yield estimation befo...

PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models

Large Language Models (LLMs) suffer severe performance degradation when facing extremely low-bit (...

HOMIE: Humanoid Loco-Manipulation with Isomorphic Exoskeleton Cockpit

Generalizable humanoid loco-manipulation poses significant challenges, requiring coordinated whole...

PromptArtisan: Multi-instruction Image Editing in Single Pass with Complete Attention Control

We present PromptArtisan, a groundbreaking approach to multi-instruction image editing that achiev...

Towards Fine-grained Interactive Segmentation in Images and Videos

The recent Segment Anything Models (SAMs) have emerged as foundational visual models for general i...

Make the Fastest Faster: Importance Mask for Interactive Volume Visualization using Reconstruction Neural Networks

Visualizing a large-scale volumetric dataset with high resolution is challenging due to the high c...

Kronecker Mask and Interpretive Prompts are Language-Action Video Learners

Contrastive language-image pretraining (CLIP) has significantly advanced image-based vision learni...

Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation

In this paper, we aim to address the unmet demand for automated prompting and enhanced human-model...

Mosaic3D: Foundation Dataset and Model for Open-Vocabulary 3D Segmentation

We tackle open-vocabulary 3D scene understanding by introducing a novel data generation pipeline a...

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