Hospital-Based Medicine

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Latest AI and machine learning research in intensivists for healthcare professionals.

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Showing 1282-1302 of 4,973 articles
Unpaired Translation of Chest X-ray Images for Lung Opacity Diagnosis via Adaptive Activation Masks and Cross-Domain Alignment

Chest X-ray radiographs (CXRs) play a pivotal role in diagnosing and monitoring cardiopulmonary di...

MotionDiff: Training-free Zero-shot Interactive Motion Editing via Flow-assisted Multi-view Diffusion

Generative models have made remarkable advancements and are capable of producing high-quality cont...

MMAIF: Multi-task and Multi-degradation All-in-One for Image Fusion with Language Guidance

Image fusion, a fundamental low-level vision task, aims to integrate multiple image sequences into...

Reducing False Ventricular Tachycardia Alarms in ICU Settings: A Machine Learning Approach

False arrhythmia alarms in intensive care units (ICUs) are a significant challenge, contributing t...

MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation

The fusion of Large Language Models with vision models is pioneering new possibilities in user-int...

Multi-modal Time Series Analysis: A Tutorial and Survey

Multi-modal time series analysis has recently emerged as a prominent research area in data mining,...

NuPlanQA: A Large-Scale Dataset and Benchmark for Multi-View Driving Scene Understanding in Multi-Modal Large Language Models

Recent advances in multi-modal large language models (MLLMs) have demonstrated strong performance ...

MAP: Multi-user Personalization with Collaborative LLM-powered Agents

The widespread adoption of Large Language Models (LLMs) and LLM-powered agents in multi-user setti...

A Transformer-based survival model for prediction of all-cause mortality in heart failure patients: a multi-cohort study

We developed and validated TRisk, a Transformer-based AI model predicting 36-month mortality in he...

Multi-output Classification for Compound Fault Diagnosis in Motor under Partially Labeled Target Domain

This study presents a novel multi-output classification (MOC) framework designed for domain adapta...

SpaceSeg: A High-Precision Intelligent Perception Segmentation Method for Multi-Spacecraft On-Orbit Targets

With the continuous advancement of human exploration into deep space, intelligent perception and h...

A Multi-Modal Federated Learning Framework for Remote Sensing Image Classification

Federated learning (FL) enables the collaborative training of deep neural networks across decentra...

DAMM-Diffusion: Learning Divergence-Aware Multi-Modal Diffusion Model for Nanoparticles Distribution Prediction

The prediction of nanoparticles (NPs) distribution is crucial for the diagnosis and treatment of t...

POINT: a web-based platform for pharmacological investigation enhanced by multi-omics networks and knowledge graphs

Network pharmacology (NP) explores pharmacological mechanisms through biological networks. Multi-o...

Learning a Unified Degradation-aware Representation Model for Multi-modal Image Fusion

All-in-One Degradation-Aware Fusion Models (ADFMs), a class of multi-modal image fusion models, ad...

Enhanced Multi-Tuple Extraction for Alloys: Integrating Pointer Networks and Augmented Attention

Extracting high-quality structured information from scientific literature is crucial for advancing...

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