Critical Care

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

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Prediction of Spontaneous Breathing Trial Outcome in Critically Ill-Ventilated Patients Using Deep Learning: Development and Verification Study.

BACKGROUND: Long-term ventilator-dependent patients often face problems such as decreased quality of...

Wavefront-coded image restoration technology based on multi-scale deep neural networks.

Optical imaging systems are significantly affected by aerodynamic thermal effects under varying flig...

Target detection enhancement method through multi-dimensional information differential projection and fusion.

As a powerful detection tool, spectral polarization imaging (SPI) reveals spatial, spectral, and pol...

All optical on-chip nonlinear activation functions for multi-wavelength computation.

This work proposes an all-optical on-chip nonlinear activation function unit for multi-wavelength co...

Classification of disease subtypes in medical spectroscopy for multi-category sample imbalances based on grouping and hierarchical learning.

In the medical domain, the challenges in sample acquisition and collection often result in imbalance...

Activation of the Carotid Body by Kappa Opioid Receptors Mitigates Fentanyl-Induced Respiratory Depression.

Previous studies reported that opioids depress breathing by inhibiting respiratory neural networks i...

An integrated deep learning model for early and multi-class diagnosis of Alzheimer's disease from MRI scans.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder that severely affects memory, b...

Enhanced effective convolutional attention network with squeeze-and-excitation inception module for multi-label clinical document classification.

Clinical Document Classification (CDC) is crucial in healthcare for organizing and categorizing larg...

Multicenter development of a deep learning radiomics and dosiomics nomogram to predict radiation pneumonia risk in non-small cell lung cancer.

Radiation pneumonia (RP) is the most common side effect of chest radiotherapy, and can affect patien...

GCN-Transformer: Graph Convolutional Network and Transformer for Multi-Person Pose Forecasting Using Sensor-Based Motion Data.

Multi-person pose forecasting involves predicting the future body poses of multiple individuals over...

Intelligent Prediction and Numerical Simulation of Landslide Prediction in Open-Pit Mines Based on Multi-Source Data Fusion and Machine Learning.

With the increasing mining depth, the stability of open-pit mine slopes has become an increasingly i...

Transforming Healthcare: The Role of Artificial Intelligence.

The integration of artificial intelligence (AI) into healthcare is revolutionising the industry by e...

Medication Recommender System for ICU Patients Using Autoencoders.

Patients admitted to the intensive care unit (ICU) are often treated with multiple high-risk medicat...

Artificial Intelligence Powered Audiomics: The Futuristic Biomarker in Pulmonary Medicine - A State-of-the-Art Review.

AI-driven "audiomics" leverages voice and respiratory sounds as non-invasive biomarkers to diagnose ...

Federated Learning for Predictive Analytics in Weaning from Mechanical Ventilation.

Mechanical ventilation is crucial for critically ill patients in ICUs, requiring accurate weaning an...

FLANDERS: Fast Learning COVID-19 Care System.

The COVID-19 pandemic highlighted the complexities of diagnosing and managing acute Respiratory Fail...

Towards the Common Data Model for an Intensive Medicine Data Space in Europe.

This work aims to identify the Key Research Areas for building and deploying the semantic interopera...

Enhancing Clinical Decision Support: A Heuristic Evaluation of Explainable AI in Healthcare Dashboards.

Explainable Artificial Intelligence (XAI) is crucial for enhancing transparency, interpretability an...

Participatory Co-Creation of an AI-Supported Patient Information System: A Multi-Method Qualitative Study.

In radiology and other medical fields, informed consent often rely on paper-based forms, which can o...

Assessing Healthcare Stakeholder Understanding of Machine Learning Documentation.

Artificial Intelligence (AI) has significantly advanced clinical decision support systems in healthc...

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