Critical Care

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

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Showing 799-819 of 5,089 articles
Machine Learning-Based Prediction of Delirium and Risk Factor Identification in Intensive Care Unit Patients With Burns: Retrospective Observational Study.

BACKGROUND: The incidence of delirium in patients with burns receiving treatment in the intensive ca...

Mar 2025 39895101
Edge Computing System for Automatic Detection of Chronic Respiratory Diseases Using Audio Analysis.

Chronic respiratory diseases affect people worldwide, but conventional diagnostic methods may not be...

Mar 2025 40035926
An AI-Based Clinical Decision Support System for Antibiotic Therapy in Sepsis (KINBIOTICS): Use Case Analysis.

BACKGROUND: Antimicrobial resistances pose significant challenges in health care systems. Clinical d...

Mar 2025 40036494
Opportunistic access control scheme for enhancing IoT-enabled healthcare security using blockchain and machine learning.

The healthcare industry, aided by technology, leverages the Internet of Things (IoT) paradigm to off...

Mar 2025 40038327
Deep learning models for early and accurate diagnosis of ventilator-associated pneumonia in mechanically ventilated neonates.

BACKGROUND: Early and accurate confirmation of critically ill neonates with a suspected diagnosis of...

Mar 2025 40037168
Explainable machine learning model for predicting acute pancreatitis mortality in the intensive care unit.

BACKGROUND: Current prediction models are suboptimal for determining mortality risk in patients with...

Mar 2025 40033198
Utilization of non-invasive ventilation before prehospital emergency anesthesia in trauma - a cohort analysis with machine learning.

BACKGROUND: For preoxygenation, German guidelines consider non-invasive ventilation (NIV) as a possi...

Mar 2025 40033329
Interpretable machine learning model for early morbidity risk prediction in patients with sepsis-induced coagulopathy: a multi-center study.

BACKGROUND: Sepsis-induced coagulopathy (SIC) is a complex condition characterized by systemic infla...

Mar 2025 40098952
Multi-modal Language models in bioacoustics with zero-shot transfer: a case study.

Automatically detecting sound events with Artificial Intelligence (AI) has become increas- ingly pop...

Feb 2025 40021809
Machine Learning-Based Mortality Prediction for Acute Gastrointestinal Bleeding Patients Admitted to Intensive Care Unit.

OBJECTIVE: The study aimed to develop machine learning (ML) models to predict the mortality of patie...

Feb 2025 40014197
Data-efficient generalization of AI transformers for noise reduction in ultra-fast lung PET scans.

PURPOSE: Respiratory motion during PET acquisition may produce lesion blurring. Ultra-fast 20-second...

Feb 2025 40009163
Predicting Agitation-Sedation Levels in Intensive Care Unit Patients: Development of an Ensemble Model.

BACKGROUND: Agitation and sedation management is critical in intensive care as it affects patient sa...

Feb 2025 40009778
Prioritisation of functional needs for ICU intelligent robots in China: a consensus study based on the national survey and nominal group technique.

OBJECTIVE: This study aims to define the prioritisation of the needs for an intelligent robot's func...

Feb 2025 40010826
Imbalanced Power Spectral Generation for Respiratory Rate and Uncertainty Estimations Based on Photoplethysmography Signal.

Respiratory rate (RR) changes in the elderly can indicate serious diseases. Thus, accurate estimatio...

Feb 2025 40096215
Back Propagation Artificial Neural Network Enhanced Accuracy of Multi-Mode Sensors.

The detection of small molecules is critical in many fields, but traditional electrochemical detecti...

Feb 2025 40136945
Leveraging diverse cell-death patterns in diagnosis of sepsis by integrating bioinformatics and machine learning.

BACKGROUND: Sepsis is a life-threatening disease causing millions of deaths every year. It has been ...

Feb 2025 40028203
Continuous non-contact monitoring of neonatal activity.

PURPOSE: Neonatal activity is an important physiological parameter in the neonatal intensive care un...

Feb 2025 39994574
Visit-to-visit blood pressure variability and clinical outcomes in peritoneal dialysis - based on machine learning algorithms.

This study aims to investigate the association between visit-to-visit blood pressure variability (VV...

Feb 2025 39984751
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