Critical Care

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

7,402 articles
Stay Ahead - Weekly Critical Care research updates
Subscribe
Browse Specialties
Subcategories: Sepsis
Showing 400-420 of 7,402 articles
Adaptive Cross-Feature Fusion Network With Inconsistency Guidance for Multi-Modal Brain Tumor Segmentation.

In the context of contemporary artificial intelligence, increasing deep learning (DL) based segmenta...

MDEU-Net: Medical Image Segmentation Network Based on Multi-Head Multi-Scale Cross-Axis.

Significant advances have been made in the application of attention mechanisms to medical image segm...

Rapid detection and identification of plastic waste based on multi-wavelength laser Raman spectroscopy combining machine learning methods.

Plastic waste has become a significant environmental concern, necessitating advancements in recyclin...

M-DeepAssembly: enhanced DeepAssembly based on multi-objective multi-domain protein conformation sampling.

BACKGROUND: Association and cooperation among structural domains play an important role in protein f...

A predictive framework using advanced machine learning approaches for measuring and analyzing the impact of synthetic agrochemicals on human health.

Pesticides and other synthetic agrochemicals play a critical role in emerging agricultural practices...

Enriching patient populations in ICU trials: reducing heterogeneity through machine learning.

PURPOSE OF REVIEW: Despite the pivotal role of randomized controlled trials (RCTs) in critical care ...

Multi-modal signal integration for enhanced sleep stage classification: Leveraging EOG and 2-channel EEG data with advanced feature extraction.

This paper introduces an innovative approach to sleep stage classification, leveraging a multi-modal...

Cangrelor and AVN-944 as repurposable candidate drugs for hMPV: analysis entailed by AI-driven in silico approach.

Human metapneumovirus (hMPV) primarily causes respiratory tract infections in young children and old...

Navigating Through Whole Slide Images With Hierarchy, Multi-Object, and Multi-Scale Data.

Building deep learning models that can rapidly segment whole slide images (WSIs) using only a handfu...

ADT²R: Adaptive Decision Transformer for Dynamic Treatment Regimes in Sepsis.

Dynamic treatment regimes (DTRs), which comprise a series of decisions taken to select adequate trea...

Video-Based Multiphysiological Disentanglement and Remote Robust Estimation for Respiration.

Remote noncontact respiratory rate estimation by facial visual information has great research signif...

A human pose estimation network based on YOLOv8 framework with efficient multi-scale receptive field and expanded feature pyramid network.

Deep neural networks are used to accurately detect, estimate, and predict human body poses in images...

Adaptive AI-enhanced computation offloading with machine learning for QoE optimization and energy-efficient mobile edge systems.

Mobile Edge Computing (MEC) systems face critical challenges in optimizing computation offloading de...

AdptDilatedGCN: Protein-ligand binding affinity prediction based on multi-scale interaction fusion mechanism and dilated GCN.

Predicting protein-ligand binding affinity is crucial for drug discovery. However, existing predicti...

MSRP-TODNet: a multi-scale reinforced region wise analyser for tiny object detection.

OBJECTIVE: Detecting small, faraway objects in real-time surveillance is challenging due to limited ...

Clinical assessment of the criticality index - dynamic, a machine learning prediction model of future care needs in pediatric inpatients.

OBJECTIVE: To assess patient characteristics and care factors that are associated with correct and i...

NAH-GNN: A graph-based framework for multi-behavior and high-hop interaction recommendation.

With the growing demand for personalized marketing, recommender systems have become essential tools ...

MSCViT: A small-size ViT architecture with multi-scale self-attention mechanism for tiny datasets.

Vision Transformer (ViT) has demonstrated significant potential in various vision tasks due to its s...

Browse Specialties