Critical Care

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

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Subcategories: Sepsis
Showing 211-231 of 7,402 articles
Fusing satellite imagery and ground-based observations for PM air pollution modeling in Iran using a deep learning approach.

With the rapid advancement of urbanization and industrialization in cities, air pollution has become...

Identifying real time surveillance indicators to estimate COVID-19 hospital admissions in Colorado during and after the public health emergency.

Questions remain about how best to focus surveillance efforts for COVID-19 and other emerging respir...

Enhancing anomaly detection and prevention in Internet of Things (IoT) using deep neural networks and blockchain based cyber security.

The rapid adoption of Internet of Things (IoT) devices has significantly increased cybersecurity ris...

Multi-modal and Multi-view Cervical Spondylosis Imaging Dataset.

Multi-modal and multi-view imaging is essential for diagnosis and assessment of cervical spondylosis...

Evaluation of normalization strategies for mass spectrometry-based multi-omics datasets.

INTRODUCTION: Data normalization is crucial for multi-omics integration, reducing systematic errors ...

Predicting long-term kidney graft failure using novel multi-omic blood-based biomarkers and artificial intelligence tools.

Kidney transplantation (KT) remains the preferred treatment for end-stage renal disease. With advanc...

Patient radiation safety in the intensive care unit.

The aim of this commentary review was to summarize the main research evidences on radiation exposure...

The Role of Precision Nutrition in Kidney Disease.

Precision nutrition utilizes an individualized approach in which dietary interventions are tailored ...

Harnessing AI for Improved Diagnosis and Management of Pediatric Sepsis: Current Advances, Challenges, and Future Directions.

Artificial intelligence (AI) has been applied to early recognition and management of rapidly progres...

Enhanced Histopathological Image Reconstruction and Classification Using Multi-Input Super-Resolution and Lightweight Neural Networks.

Liver cancer is one of the leading causes of mortality in cancer-related diagnoses in previous years...

Spatial domain detection using contrastive self-supervised learning for spatial multi-omics technologies.

Recent advances in spatially resolved single-omic and multi-omics technologies have led to the emerg...

A Review of Medical Oxygen Concentrators for Respiratory Applications.

Medical oxygen concentrators are vital apparatuses that deliver supplemental oxygen to persons with ...

Integrating multi-omics and machine learning for disease resistance prediction in legumes.

Multi-omics assisted prediction of disease resistance mechanisms using machine learning has the pote...

Leveraging large language models for patient-ventilator asynchrony detection.

OBJECTIVES: The objective of this study is to evaluate whether large language models (LLMs) can achi...

[Early warning scores: a rapid umbrella review].

BACKGROUND: Early warning scores (EWS) are used for monitoring and evaluating vital signs in hospita...

A Wearable AI-Driven Mask with Humidity-Sensing Respiratory Microphone for Non-Vocal Communication.

Hoarseness and dysphonia caused by vocal cord conditions or laryngeal surgeries significantly hinder...

European Respiratory Society Clinical Practice Guideline on Telemedicine in Home Mechanical Ventilation.

BACKGROUND: With the increasing prevalence of patients on home mechanical ventilation (HMV), changin...

A multi-domain collaborative denoising bearing fault diagnosis model based on dynamic inter-domain attention mechanism and noise-aware loss function.

Rolling bearings are the core transmission components of large-scale rotating machinery such as wind...

Accelerated Self-Supervised Multi-Illumination Color Constancy with Hybrid Knowledge Distillation.

Color constancy, the human visual system's ability to perceive consistent colors under varying illum...

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