Critical Care

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

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Showing 526-546 of 5,053 articles
Multimodal data integration to determine viral and innate immune kinetics in human airway epithelium.

Understanding the mechanisms that govern viral spread in human airway epithelium (HAE) remains a maj...

(1)
May 2026 42160356
RADIANT: A fully configurable radiotherapy dose prediction framework.

Treatment planning is a multi-disciplinary effort that requires medical decision-making, specialized...

May 2026 42161288
Application of an AI-Based Pediatric Early Warning Score in the Pediatric Emergency Department: Cross-Sectional Study.

BACKGROUND: Pediatric emergency departments see a high volume of patients. Given that children often...

(1)
May 2026 42155091
A real-time early warning system to anticipate respiratory disease outbreaks using transfer learning.

Respiratory disease outbreaks burden American healthcare systems with over one million hospitalizati...

May 2026 42156378
Use of machine learning and voice for multiclass classification of Parkinson's disease, chronic obstructive pulmonary disease, and healthy controls.

Parkinson's disease (PD) and chronic obstructive pulmonary disease (COPD) are prevalent conditions w...

May 2026 42156531
Real-time prediction of cardiorespiratory deterioration during paediatric critical care transport using interpretable machine learning.

Interhospital transport of critically ill children carries inherent risks, including unexpected resp...

May 2026 42154766
Clinical sentiment analysis of ICU notes: a dataset and a comparison of lexicon and clinical language model methods.

BACKGROUND: General-domain sentiment models have been found ineffective in distinguishing positivity...

May 2026 42151962
Prediction of venous thromboembolism after spontaneous intracerebral hemorrhage based on machine learning.

Patients with intracerebral hemorrhage (ICH) are at high risk of venous thromboembolism (VTE). Curre...

May 2026 42149307
Open circuit fault localization in dual active bridge based simultaneous battery charging systems using multi label classification.

This paper presents a multi-label fault localization framework for open-circuit fault diagnosis in a...

May 2026 42151360
HybridTrust: on-device federated learning with crypto-agile security for legacy and quantum-safe medical devices.

The process of migration of IoMT systems in healthcare into post-quantum cryptographic systems is ex...

(1)
May 2026 42151390
Supervised machine learning models for predicting sepsis-associated acute kidney injury in children: a real-world evaluation.

BACKGROUND: Sepsis-associated acute kidney injury (S-AKI) substantially increases mortality. The rec...

May 2026 42151593
KT-YOLO: A multi-convolution kernel collaboration model for dense Hu sheep behavior detection.

Computer vision has been extensively applied to sheep behavior detection in recent years. However, t...

May 2026 42149847
Early Risk Stratification for Mechanical Ventilation in Acute Ischemic Stroke: Development and Validation of a Simplified Clinical Score.

Background and PurposeMechanical ventilation (MV) occurs in a substantial subset of acute ischemic s...

May 2026 42141950
Interpretable machine learning methods based on oscillometry and electric modeling for the diagnostic of respiratory dysfunction in silicosis.

PURPOSE: Silicosis, the most dangerous and common lung illness associated with breathing in mineral ...

(3)
May 2026 42141432
TIME: A Taylor-Inspired Mixed-Effects Model for IDH Prediction.

BACKGROUND: Intradialytic hypotension (IDH) is a critical complication in hemodialysis that increase...

May 2026 42139126
GRACE-MORE: A Motion-Resolved Golden-Angle Radial CEST MRI Technique for Free-Breathing Abdominal Imaging.

PURPOSE: To develop a motion-resolved acquisition and reconstruction framework for motion-robust and...

May 2026 42136143
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