Critical Care

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

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Subcategories: Sepsis
Showing 190-210 of 7,402 articles
Multi channel fusion diffusion models for brain tumor MRI data augmentation.

The early diagnosis of brain tumors is crucial for patient prognosis, and medical imaging techniques...

Multi-scale fusion semantic enhancement network for medical image segmentation.

The application of sophisticated computer vision techniques for medical image segmentation (MIS) pla...

Machine learning model and hemoglobin to red cell distribution width ratio evaluates all-cause mortality in pulmonary embolism.

The ratio of hemoglobin (Hb) to red blood cell distribution width (RDW), known as HRR, functions as ...

Comparative analysis of statistical and deep learning-based multi-omics integration for breast cancer subtype classification.

BACKGROUND: Breast cancer (BC) is a critical cause of cancer-related death globally. The heterogenei...

Transforming heart transplantation care with multi-omics insights.

Heart transplantation (HTx) remains the definitive treatment for patients with end-stage heart disea...

Deep learning-based cough classification using application-recorded sounds: a transfer learning approach with VGGish.

BACKGROUND: Coughing sounds contain various bio-metric information with regards to respiratory disea...

Implicit bias in ICU electronic health record data: measurement frequencies and missing data rates of clinical variables.

BACKGROUND: Systematic disparities in data collection within electronic health records (EHRs), defin...

An interval type-2 fuzzy multi-criteria decision-making approach for patient bed allocation.

Effective inpatient bed management is critical for optimizing healthcare resource utilization and en...

Formulation of low temperature mixed mode crack propagation behavior of crumb rubber modified HMA using artificial intelligence.

Determining mixed mode fracture parameters asphalt concrete mixtures remains an engineering challeng...

Profiling short-term longitudinal severity progression and associated genes in COVID-19 patients using EHR and single-cell analysis.

Here we propose CovSF, a deep learning model designed to track and forecast short-term severity prog...

An explainable multi-task deep learning framework for crash severity prediction using multi-source data.

Traffic accidents pose significant global challenges, causing substantial injuries, fatalities, and ...

An optimal neural network to design generators and stabilizers for multi-machine power systems based on a promoted firefly algorithm.

The purpose of this article is to investigate power system stabilizing (PSS) in multi-machine power ...

Hybrid transfer learning and self-attention framework for robust MRI-based brain tumor classification.

Brain tumors are a significant contributor to cancer-related deaths worldwide. Accurate and prompt d...

Construction of intelligent gymnastics teaching model based on neural network and artificial intelligence.

This study aims to develop intelligent gymnastics teaching model based on Artificial Neural Network ...

Bearing fault diagnosis based on cross image multi-attention mechanism.

Bearings are crucial components of rotating machinery, and fault diagnosis is essential for ensuring...

Automatic melanoma detection using an optimized five-stream convolutional neural network.

Melanoma is among the deadliest forms of malignant skin cancer, with the number of cases increasing ...

Multi-objective artificial-intelligence-based parameter tuning of antennas using variable-fidelity machine learning.

Multi-objective optimization (MO) is an important topic in contemporary antenna design. Due to the r...

Survival analysis for sepsis patients: A machine learning approach to feature selection and predictive modeling.

Sepsis is a life-threatening condition that presents substantial challenges to healthcare and pharma...

Enhancing education quality with hybrid clustering and evolutionary neural networks in a multi phase framework.

Effective student performance evaluation is essential for improving education, especially in higher ...

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