Critical Care

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

7,482 articles
Stay Ahead - Weekly Critical Care research updates
Subscribe
Browse Categories
Subcategories: Sepsis
Showing 3781-3801 of 7,482 articles
An Attention-Based Deep Neural Network Model to Detect Cis-Regulatory Elements at the Single-Cell Level From Multi-Omics Data.

Cis-regulatory elements (cREs) play a crucial role in regulating gene expression and determining cel...

[Classification of Alzheimer's disease based on multi-example learning and multi-scale feature fusion].

Alzheimer's disease (AD) classification models usually segment the entire brain image into voxel blo...

[Research on arrhythmia classification algorithm based on adaptive multi-feature fusion network].

Deep learning method can be used to automatically analyze electrocardiogram (ECG) data and rapidly i...

AI-driven health analysis for emerging respiratory diseases: A case study of Yemen patients using COVID-19 data.

In low-income and resource-limited countries, distinguishing COVID-19 from other respiratory disease...

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...

χ-sepnet: Deep Neural Network for Magnetic Susceptibility Source Separation.

Magnetic susceptibility source separation (χ-separation), an advanced quantitative susceptibility ma...

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...

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...

Relative Value Encoding in Large Language Models: A Multi-Task, Multi-Model Investigation.

In-context learning enables large language models (LLMs) to perform a variety of tasks, including so...

AI-driven multi-omics profiling of sepsis immunity in the digestive system.

Sepsis is a life-threatening systemic inflammatory syndrome characterized by a complex immune biphas...

Identifying Common Diagnostic Biomarkers and Therapeutic Targets between COPD and Sepsis: A Bioinformatics and Machine Learning Approach.

BACKGROUND: Evidence suggests a bidirectional association between chronic obstructive pulmonary dise...

Advanced multi-objective trajectory planning for robotic arms using a multi-strategy enhanced NSGA-II algorithm.

Facing the problems of large-scale rapid and disorderly loading, the robotic arm has the problems of...

A deep learning-based algorithm for the detection of personal protective equipment.

Personal protective equipment (PPE) is critical for ensuring the safety of construction workers. How...

Rice disease detection method based on multi-scale dynamic feature fusion.

In order to enhance the accuracy of rice leaf disease detection in complex farmland environments, an...

Interpretable AI-driven multi-objective risk prediction in heart failure patients with thyroid dysfunction.

INTRODUCTION: Heart Failure (HF) complicated by thyroid dysfunction presents a complex clinical chal...

A transformation uncertainty and multi-scale contrastive learning-based semi-supervised segmentation method for oral cavity-derived cancer.

OBJECTIVES: Oral cavity-derived cancer pathological images (OPI) are crucial for diagnosing oral squ...

A lightweight hyperspectral image multi-layer feature fusion classification method based on spatial and channel reconstruction.

Hyperspectral Image (HSI) classification tasks are usually impacted by Convolutional Neural Networks...

Classification of fashion e-commerce products using ResNet-BERT multi-modal deep learning and transfer learning optimization.

As the fashion e-commerce markets rapidly develop, tens of thousands of products are registered dail...

Real estate valuation with multi-source image fusion and enhanced machine learning pipeline.

The automated valuation model (AVM) has been widely used by real estate stakeholders to provide accu...

Browse Categories