Critical Care

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

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Showing 232-252 of 7,402 articles
Epilepsy Prediction via Time-Frequency Features and Multi-Scale Hybrid Neural Networks.

The prediction of epileptic seizures heavily depends on the precise embedding and classification of ...

PoseNet++: A multi-scale and optimized feature extraction network for high-precision human pose estimation.

Human pose estimation (HPE) has made significant progress with deep learning; however, it still face...

A Comparative Assessment of Large Language Models in Pediatric Dialysis: Reliability, Quality and Readability.

INTRODUCTION: This study evaluated the reliability, quality, and readability of ChatGPT (OpenAI, San...

A Machine Learning Analysis of Physiological Monitoring Signals to Detect Small Airway Narrowing Due to Cold Air Exposure in Asthma.

Asthma is a chronic inflammatory disease of the small airways, affecting over 200 million people glo...

Multimodal Depression Recognition via Mutual Information Maximization Joint with Multi-task Learning.

Depression is a serious mental health disorder with a potential hazard for individuals and society c...

MVT-Net: A novel cervical tumour segmentation using multi-view feature transfer learning.

Cervical cancer is one of the most aggressive malignant tumours of the reproductive system, posing a...

Evidence-based Multi-Feature Fusion for Adversarial Robustness.

The accumulation of adversarial perturbations in the feature space makes it impossible for Deep Neur...

Physiological Response of Tissue-Engineered Vascular Grafts to Vasoactive Agents in an Ovine Model.

Tissue-engineered vascular grafts (TEVGs) are emerging as promising alternatives to synthetic grafts...

Disease entity impacts muscle wasting in the ICU with COVID-19 patients losing muscle nearly twice as fast.

Muscle loss in critically ill patients, particularly during prolonged ICU stays, poses significant c...

Automatic Multi-Task Segmentation and Vulnerability Assessment of Carotid Plaque on Contrast-Enhanced Ultrasound Images and Videos via Deep Learning.

Intraplaque neovascularization (IPN) within carotid plaque is a crucial indicator of plaque vulnerab...

DynSeizureGAT: Multi-band Dynamic Graph Attention Network for Interpretable Seizure Detection and Analysis of Drug-Resistant Epilepsy Using SEEG.

The dynamic propagation of epileptic discharges complicates Drug-Resistant Epilepsy (DRE) seizure de...

MVKD-Trans: A Multi-View Knowledge Distillation Vision Transformer Architecture for Breast Cancer Classification Based on Ultrasound Images.

Breast cancer is the leading cancer threatening women's health. In recent years, deep neural network...

World of ScoreCraft: Novel Multi-Scorer Experiment on the Impact of a Decision Support System in Sleep Staging.

Manual scoring of polysomnography (PSG) is a time-intensive task, prone to inter-scorer variability ...

Can we predict the future of respiratory failure prediction?

BACKGROUND: Mortality in patients with acute respiratory failure remains high. Predicting progressio...

Multi-omics approaches: transforming the landscape of natural product isolation.

The field of natural product (NPs) discovery has significantly evolved with the advent of multi-omic...

Development of a Machine Learning-Based Predictive Model for Postoperative Delirium in Older Adult Intensive Care Unit Patients: Retrospective Study.

BACKGROUND: Delirium is a prevalent phenomenon among patients admitted to the geriatric intensive ca...

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