Critical Care

Artificial intelligence in paediatric cardiac critical care: from predictive analytics to continuous physiologic intelligence.

OBJECTIVE: Artificial intelligence is increasingly applied in paediatric cardiology and cardiac inte...

Identification of shared diagnostic biomarkers and immune-related mechanisms between sepsis and thoracic aortic aneurysm based on integrated bioinformatics and machine learning approaches.

BACKGROUND: Sepsis and thoracic aortic aneurysm (TAA) share pathological features of inflammation an...

Obesity in CKD: The Double-Edged Sword.

Obesity and chronic kidney disease (CKD) are converging global epidemics with a complex, bidirection...

Conventional statistical and machine learning-based prediction of neonatal outcomes in late-onset fetal growth restriction.

OBJECTIVES: To evaluate associations between antenatal fetal biometric and Doppler parameters and ne...

A Contactless Approach for Accurate Sleep Stage Detection Using the Sleepal AI Lamp.

To validate the accuracy and clinical feasibility of a noncontact radar system (Sleepal AI Lamp) for...

Automated Bergmann-Kliesch Score assessment in testicular biopsies using artificial intelligence-based whole-slide image analysis: a retrospective monocentric development and validation study.

BACKGROUND: The Bergmann-Kliesch Score is a histopathological grading system used to evaluate sperma...

Harnessing artificial intelligence to modulate mechanical power: Toward safer and outcome-oriented ventilation in critical care.

Plasmonic biosensor platforms for next-generation personalized medical diagnostics.

The increasing healthcare burden demands precise diagnostics for early detection and longitudinal di...

Machine Learning for Predicting Long-Term Outcomes in Neurocritical Care: A sub-analysis from the SYNAPSE-ICU Study.

PURPOSE: Neurocritical conditions present significant challenges in the intensive care unit (ICU), e...

Artificial Intelligence Prognostic Models for Healthcare-Associated Infection Prediction in Adult Intensive Care Units: A Systematic Review Protocol.

BACKGROUND AND AIMS: Despite widespread Infection Prevention and Control (IPC) measures, Healthcare-...

[Core data set telemedicine in intensive care medicine. Requirement catalogue via Delphi study].

BACKGROUND: Telemedicine in intensive care medicine has not yet been uniformly defined or standardiz...

Clinician Trust and Human Factors in AI-Enabled Clinical Decision Support in Acute Care: Mixed Methods Study.

BACKGROUND: AI has the potential to enhance clinical decision-making in high-acuity settings such as...

Dense temporal sleep apnea profiling from single-channel PPG with downstream AHI estimation: a large-scale retrospective feasibility study.

Sleep apnea (SA) diagnosis remains challenging due to the cost and limited accessibility of polysomn...

Artificial intelligence and digital technologies transforming neonatal respiratory assessment: a scoping review.

Digital technologies and artificial intelligence (AI) have been increasingly incorporated into neona...

Deep learning-based CNN method for fiducial marker detection in kilovoltage X-ray images for liver tumor motion monitoring.

BACKGROUND: During radiation therapy, liver tumor motion can reduce dose delivery accuracy and incre...

A DIAMETER AND HEMODYNAMIC REGULATION MODEL UTILIZING AN ARTERIOLAR NETWORK STRUCTURAL MODEL AND EXPERIMENT-BASED MACHINE LEARNING.

Arteriolar regulation is central to maintaining adequate tissue perfusion, and its disruption can le...

Recent progress in the biomarkers of peripheral artery disease.

Peripheral artery disease (PAD) is a prevalent atherosclerotic disorder affecting over 113 million i...

A digital twin for tracking and forecasting glycemia with septic patients in ICUs.

We present a digital twin framework for real-time glucose monitoring and forecasting in septic patie...

Regional micro-computed tomography analysis enables longitudinal detection of compensatory ventilation effects in a mouse model of pulmonary fibrosis.

Accurate lung function assessment is essential in preclinical idiopathic pulmonary fibrosis (IPF) re...

Is AI Patient Safety 4.0?: From Find-and-Fix to Continuous Intelligence: Toward Care That Needs No Advocate.

Three decades after To Err Is Human catalyzed the modern patient safety movement, roughly one in fou...

Development and validation of VentPilot: an AI-based recommendation system for mechanical ventilation.

BACKGROUND: Mechanical ventilation requires repeated adjustment to changing patient physiology, but ...