Hospital-Based Medicine

Intensivists

Latest AI and machine learning research in intensivists for healthcare professionals.

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Showing 22-42 of 6,135 articles
Machine learning algorithms for risk factor selection with application to 60-day sepsis morbidity risk for a geriatric hip fracture cohort.

BACKGROUND: Sepsis after hip fracture in elderly people is a risk factor for mortality. The purpose ...

Frontiers in EEG as a tool for the management of pediatric epilepsy: Past, present, and future.

Electroencephalography (EEG) has evolved into an indispensable tool in pediatric epilepsy, fundament...

Aptamer-Mediated Artificial Synapses for Neuromorphic Modulation of Inflammatory Signaling via Organic Electrochemical Transistor.

Artificial synaptic devices that mimic neuromorphic signal processing hold great promise for bioelec...

Multi-scale feature pyramid network with bidirectional attention for efficient mural image classification.

Mural image recognition plays a critical role in the digital preservation of cultural heritage; howe...

Multi-heat keypoint incorporation in deep learning model to tropical cyclone centering and intensity classifying from geostationary satellite images.

Hydrometeorological forecasting and early warning involve many hazardous elements, with the estimati...

Integrative network pharmacology and multi-omics reveal anisodamine hydrobromide's multi-target mechanisms in sepsis.

Sepsis, marked by hyperinflammation and subsequent immunosuppression, lacks effective phase-specific...

Dominant Classifier-assisted Hybrid Evolutionary Multi-objective Neural Architecture Search.

Neural Architecture Search (NAS) automates the design of deep neural networks but remains computatio...

Explainable machine learning for predicting ICU mortality in myocardial infarction patients using pseudo-dynamic data.

Myocardial infarction (MI) remains one of the greatest contributors to mortality, and patients admit...

Measuring intensive care performance to attain collaborative quality improvement: Work in progress but much to be done.

Intensive Care Medicine must be viewed as an organized system of care that ensures delivery of timel...

Trends and methods in intensive care unit (ICU) research using machine learning: latent dirichlet allocation (LDA)-based thematic literature review.

INTRODUCTION: The use of machine learning (ML) in intensive care units (ICUs) has led to a large yet...

Developing and validating machine learning models to predict next-day extubation.

Criteria to identify patients who are ready to be liberated from mechanical ventilation (MV) are imp...

MFFBi-Unet: Merging Dynamic Sparse Attention and Multi-scale Feature Fusion for Medical Image Segmentation.

The advancement of deep learning has driven extensive research validating the effectiveness of U-Net...

Interpretable graph Kolmogorov-Arnold networks for multi-cancer classification and biomarker identification using multi-omics data.

The integration of heterogeneous multi-omics datasets at a systems level remains a central challenge...

Diagnosis of Major Depressive Disorder Based on Multi-Granularity Brain Networks Fusion.

Major Depressive Disorder (MDD) is a common mental disorder, and making an early and accurate diagno...

Enhancing EEG-Based Schizophrenia Diagnosis with Explainable Multi-Branch Deep Learning.

Schizophrenia poses diagnostic challenges due to a lack of objective assessment. We propose MBSzEEGN...

Multi-modal classification of retinal disease based on convolutional neural network.

Retinal diseases such as age-related macular degeneration and diabetic retinopathy will lead to irre...

Identifying key physiological and clinical factors for traumatic brain injury patient management using network analysis and machine learning.

In the intensive care unit (ICU), managing traumatic brain injury (TBI) patients presents significan...

Differential effects of demographics and risk factors on the nonlinear orthotropic mechanical properties of human femoropopliteal arteries.

Understanding how demographics and risk factors differentially affect the nonlinear orthotropic mech...

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