Critical Care

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

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Predicting 1-Year Survival Using Machine Learning in Very Old Patients Before ICU Admission.

Discussions about the benefits of admitting very old individuals to intensive care unit (ICU) remain...

Exploring the Role of Digital Twins in Heart Care: Research Directions and Applications.

The concept of digital twins has emerged as a transformative innovation in healthcare. Digital twins...

Understanding Stain Separation Improves Cross-Scanner Adenocarcinoma Segmentation with Joint Multi-Task Learning.

Digital pathology has made significant advances in tumor diagnosis and segmentation; however, image ...

A multi-objective evolutionary algorithm for detecting protein complexes in PPI networks using gene ontology.

Detecting protein complexes is crucial in computational biology for understanding cellular mechanism...

MIMI-ONET: Multi-Modal image augmentation via Butterfly Optimized neural network for Huntington DiseaseDetection.

Huntington's disease (HD) is a chronic neurodegenerative ailment that affects cognitive decline, mot...

SERS based determination of ceftriaxone, ampicillin, and vancomycin in serum using WS/Au@Ag nanocomposites and a 2D-CNN regression model.

Accurate therapeutic drug monitoring (TDM) of antibiotics including ceftriaxone, ampicillin, and van...

Advancing optical nanosensors with artificial intelligence: A powerful tool to identify disease-specific biomarkers in multi-omics profiling.

Multi-omics profiling integrates genomic, epigenomic, transcriptomic, and proteomic data, essential ...

Self-Supervised WiFi-Based Identity Recognition in Multi-User Smart Environments.

The deployment of autonomous AI agents in smart environments has accelerated the need for accurate a...

Deep Learning Models for Multi-Part Morphological Segmentation and Evaluation of Live Unstained Human Sperm.

To perform accurate computer vision quality assessments of sperm used within reproductive medicine, ...

Prediction and Stage Classification of Pressure Ulcers in Intensive Care Patients by Machine Learning.

Pressure ulcers are a serious clinical problem associated with high morbidity, mortality and health...

Predicting sepsis treatment decisions in the paediatric emergency department using machine learning: the AiSEPTRON study.

BACKGROUND: Early identification of children at risk of sepsis in emergency departments (EDs) is cru...

An Annotated Multi-Site and Multi-Contrast Magnetic Resonance Imaging Dataset for the study of the Human Tongue Musculature.

This dataset provides the first annotated, openly available MRI-based imaging dataset for investigat...

Predictors and associations of complications in ureteroscopy for stone disease using AI: outcomes from the FLEXOR registry.

We aimed to develop machine learning(ML) algorithms to evaluate complications of flexible ureterosco...

Ethics: Crisis Standards of Care Simulation.

Ethical dilemmas exist with decision-making regarding resource allocations, such as critical care, v...

The contribution of the locus coeruleus - norepinephrine system to the coupling between pupil-linked arousal and cortical state.

Understanding how pupil-linked arousal couples with cortical state is crucial for uncovering the neu...

Personalized Nutrition Strategies for Patients in the Intensive Care Unit: A Narrative Review on the Future of Critical Care Nutrition.

Critically ill patients in intensive care units (ICUs) are at high risk of malnutrition, which can ...

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