Critical Care

Latest AI and machine learning research in critical care for healthcare professionals.

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Subcategories: Sepsis
Showing 2521-2541 of 5,099 articles
AnyTouch: Learning Unified Static-Dynamic Representation across Multiple Visuo-tactile Sensors

Visuo-tactile sensors aim to emulate human tactile perception, enabling robots to precisely unders...

Representation Learning to Advance Multi-institutional Studies with Electronic Health Record Data

The adoption of EHRs has expanded opportunities to leverage data-driven algorithms in clinical car...

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation

The U.S. allocates nearly 18% of its GDP to healthcare but experiences lower life expectancy and h...

The Application of MATEC (Multi-AI Agent Team Care) Framework in Sepsis Care

Under-resourced or rural hospitals have limited access to medical specialists and healthcare profe...

RAMer: Reconstruction-based Adversarial Model for Multi-party Multi-modal Multi-label Emotion Recognition

Conventional multi-modal multi-label emotion recognition (MMER) from videos typically assumes full...

MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification

Medical time series has been playing a vital role in real-world healthcare systems as valuable inf...

Sampling Binary Data by Denoising through Score Functions

Gaussian smoothing combined with a probabilistic framework for denoising via the empirical Bayes f...

Artificial Intelligence-Based Early Prediction of Acute Respiratory Failure in the Emergency Department Using Biosignal and Clinical Data.

PURPOSE: Early identification of patients at risk for acute respiratory failure (ARF) could help cli...

Feb 2025 39894045
BSODiag: A Global Diagnosis Framework for Batch Servers Outage in Large-scale Cloud Infrastructure Systems

Cloud infrastructure is the collective term for all physical devices within cloud systems. Failure...

Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior

Recent advancements in diffusion models have been leveraged to address inverse problems without ad...

Identification of DNA damage repair-related genes in sepsis using bioinformatics and machine learning: An observational study.

Sepsis is a life-threatening disease with a high mortality rate, for which the pathogenetic mechanis...

Jan 2025 39889168
Vagus nerve stimulation as a modulator of feedforward and feedback neural transmission

Vagus nerve stimulation (VNS) has emerged as a promising therapeutic intervention across various n...

The Lock Generative Adversarial Network for Medical Waveform Anomaly Detection

Waveform signal analysis is a complex and important task in medical care. For example, mechanical ...

Contrastive Representation Learning Helps Cross-institutional Knowledge Transfer: A Study in Pediatric Ventilation Management

Clinical machine learning deployment across institutions faces significant challenges when patient...

Teaching Large Language Models to Regress Accurate Image Quality Scores using Score Distribution

With the rapid advancement of Multi-modal Large Language Models (MLLMs), MLLM-based Image Quality ...

Deformable Image Registration of Dark-Field Chest Radiographs for Local Lung Signal Change Assessment

Dark-field radiography of the human chest has been demonstrated to have promising potential for th...

Multi-task deep-learning for sleep event detection and stage classification

Polysomnographic sleep analysis is the standard clinical method to accurately diagnose and treat s...

iMFP-LG: Identify Novel Multi-functional Peptides Using Protein Language Models and Graph-based Deep Learning.

Functional peptides are short amino acid fragments that have a wide range of beneficial functions fo...

Jan 2025 39585308
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