Critical Care

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

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Subcategories: Sepsis
Showing 253-273 of 7,402 articles
Prediction of Sepsis after Endourologic Kidney Stone Surgery: A Machine Learning Approach.

Sepsis secondary to urinary tract infection after kidney stone surgery is associated with considera...

Automated Multi-grade Brain Tumor Classification Using Adaptive Hierarchical Optimized Horse Herd BiLSTM Fusion Network in MRI Images.

Brain tumor classification using Magnetic Resonance Imaging (MRI) images is an important and emergin...

Applying a multi-task and multi-instance framework to predict axillary lymph node metastases in breast cancer.

Deep learning (DL) models have shown promise in predicting axillary lymph node (ALN) status. However...

Multi-Scale Temporal Analysis with a Dual-Branch Attention Network for Interpretable Gait-Based Classification of Neurodegenerative Diseases.

The accurate diagnosis of neurodegenerative diseases (NDDs), such as Amyotrophic Lateral Sclerosis (...

Arrhythmia classification based on multi-input convolutional neural network with attention mechanism.

Arrhythmia is a prevalent cardiac disorder that can lead to severe complications such as stroke and ...

Precision Medicine and Machine Learning to predict critical disease and death due to Coronavirus disease 2019 (COVID-19).

INTRODUCTION: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes Coronavirus Di...

A Coarse-to-Fine Multi-Hypothesis Method for Ambiguous Hand Pose Estimation.

In hand pose estimation, challenges such as occlusion often result in partial observation of a human...

Traumatic brain injury management in the intensive care unit: standard of care and knowledge gaps.

Despite advances in the management of traumatic brain injury (TBI) in the intensive care unit (ICU),...

Prediction of Acute Kidney Injury in Critically ill Patients with Community-Acquired Pneumonia Using Machine Learning.

BackgroundThe incidence of acute kidney injury (AKI) is increased in patients with community-acquire...

Harnessing AI in critical care: opportunities, challenges and key steps for success.

BACKGROUND: The integration of artificial intelligence (AI) into critical care offers significant po...

Multi-class transformer-based segmentation of pancreatic ductal adenocarcinoma and surrounding structures in CT imaging: a multi-center evaluation.

OBJECTIVE: Accurate segmentation of pancreatic ductal adenocarcinoma (PDAC) and surrounding anatomic...

MOPSOGAT: Predicting CircRNA-Disease Associations via Improved Multi-objective Particle Swarm Optimization and Graph Attention Network.

Recently increasing researches have discovered that circRNAs are remarkably reliable in organisms an...

Integrated Polarization, Distance, and Rotation for Multi-DoF Diffractive Processor and Information Encryption.

All-optical diffractive deep neural networks (DNNs) offer significant advantages in processing speed...

Multi-omics integration of TPX2 in prognostic prediction in resectable hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is a malignant tumor with high incidence and mortality rates globally...

Clinical Utility of Pulmonary Function Testing in Assessing Longitudinal Outcomes of Deployed Veterans with Preserved Spirometry.

Deployment to the Southwest Asia Theater of Military Operations is associated with new-onset respira...

Exploring the molecular mechanisms of lactylation-related biological functions and immune regulation in sepsis-associated acute kidney injury.

Lactylation, a novel post-translational modification, has been implicated in various pathophysiologi...

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