Critical Care

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

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Showing 2185-2205 of 7,443 articles
Feature Refine Network for Salient Object Detection.

Different feature learning strategies have enhanced performance in recent deep neural network-based ...

Intelligent and novel multi-type cancer prediction model using optimized ensemble learning.

Cancer is known to be highly severe disease and gets incurable even when the treatment has started a...

Multi-fidelity surrogate modeling through hybrid machine learning for biomechanical and finite element analysis of soft tissues.

Biomechanical simulation enables medical researchers to study complex mechano-biological conditions,...

Multi-Branch-CNN: Classification of ion channel interacting peptides using multi-branch convolutional neural network.

Ligand peptides that have high affinity for ion channels are critical for regulating ion flux across...

Tell me something interesting: Clinical utility of machine learning prediction models in the ICU.

In recent years, extensive resources are dedicated to the development of machine learning (ML) based...

Deep learning-based lesion subtyping and prediction of clinical outcomes in COVID-19 pneumonia using chest CT.

The main objective of this work is to develop and evaluate an artificial intelligence system based o...

Multi-Level Functional Connectivity Fusion Classification Framework for Brain Disease Diagnosis.

Brain disease diagnosis is a new hotspot in the cross research of artificial intelligence and neuros...

Vertebrae Labeling via End-to-End Integral Regression Localization and Multi-Label Classification Network.

Accurate identification and localization of the vertebrae in CT scans is a critical and standard pre...

Multi-Swarm Algorithm for Extreme Learning Machine Optimization.

There are many machine learning approaches available and commonly used today, however, the extreme l...

Correlation-Based Anomaly Detection Method for Multi-sensor System.

In industry, sensor-based monitoring of equipment or environment has become a necessity. Instead of ...

Risk assessment of ICU patients through deep learning technique: A big data approach.

BACKGROUND: Intensive Care Unit (ICU) patients are exposed to various medications, especially during...

Integrated Learning Model-Based Assessment of Enteral Nutrition Support in Neurosurgical Intensive Care Patients.

To observe the clinical efficacy of early enteral nutrition application in critically ill neurosurgi...

A meta-learning algorithm for respiratory flow prediction from FBG-based wearables in unrestrained conditions.

The continuous monitoring of an individual's breathing can be an instrument for the assessment and e...

Multi-task convolutional neural networks for predicting in vitro clearance endpoints from molecular images.

Optimization of compound metabolic stability is a highly topical issue in pharmaceutical research. A...

Development of a deep learning model that predicts Bi-level positive airway pressure failure.

Delaying intubation for patients failing Bi-Level Positive Airway Pressure (BIPAP) may be associated...

Deep Multi-Scale Residual Connected Neural Network Model for Intelligent Athlete Balance Control Ability Evaluation.

Athlete balance control ability plays an important role in different types of sports. Accurate and e...

An Analysis of New Feature Extraction Methods Based on Machine Learning Methods for Classification Radiological Images.

The lungs are COVID-19's most important focus, as it induces inflammatory changes in the lungs that ...

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