Critical Care

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

7,482 articles
Stay Ahead - Weekly Critical Care research updates
Subscribe
Browse Categories
Subcategories: Sepsis
Showing 3550-3570 of 7,482 articles
Neuroadaptive fixed-time fault-tolerant containment control of high-order MIMO Nonlinear multi-agent systems in affine strict-feedback form.

This paper is concerned with the fixed-time containment control problem for high-order MIMO nonlinea...

Physics-informed multi-output Gaussian process for dynamical system modeling.

Learning accurate dynamics models is crucial for model-based reinforcement learning. Gaussian proces...

Spiking frequency adaptability and multi-weight synergy in artificial neuronal modules bifunctional NbO memristors.

To address the limitations of current artificial neurons in neuromorphic hardware implementation, Nb...

Modelling Mutagenicity Using Multi-Task Deep Learning and REACH Data.

Under REACH, mutagenicity assessment relies on testing (gene mutation test in bacteria and/or mamma...

Artificial intelligence across the cancer care continuum.

Artificial intelligence (AI) holds significant potential to enhance various aspects of oncology, spa...

Discovery of multi-metal-layered double hydroxides for decontamination of iodate by machine learning-assisted experiments.

The development of novel materials for radioactive iodate adsorption is critical for nuclear waste m...

Predicting Length of Stay in Acute Care Using Day-to-Day Patient Information.

Predicting the Length of Stay (LoS) in healthcare settings is a critical task that supports optimize...

ICU Length of Stay Prediction for Patients with Diabetes Using Machine Learning and Clinical Notes.

Diabetes, a chronic disease, often leads to poor health outcomes and increased healthcare costs, par...

Time-Aware Tranformer-Based Prediction Model for AECOPD.

The rapid symptom change of Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) mak...

A multi-stage 3D convolutional neural network algorithm for CT-based lung segment parcellation.

BACKGROUND: Current approaches to lung parcellation utilize established fissures between lobes to pr...

Multi-scale transformation and evolutionary factors of ecological security patterns in the Yangtze River Economic Belt.

Ecological security is vital for ecosystem sustainability and varies across scales. Macro-scale asse...

Multi-Target Drug Design in Alzheimer's Disease Treatment: Emerging Technologies, Advantages, Challenges, and Limitations.

Alzheimer's disease (AD) is a complex and multifactorial neurodegenerative disorder, recognized as t...

Empirical mode decomposition in clinical signal analysis: A systematic review.

This systematic review examines the transformative applications of empirical mode decomposition (EMD...

Multivariate multi-horizon time-series forecasting for real-time patient monitoring based on cascaded fine tuning of attention-based models.

The real-time forecasting of critical physiological indicators in intensive care units (ICUs) is ess...

A panting behavior-driven assessment framework for summer ventilation quality optimization in layer houses.

Ventilation quality in summer layer houses is critical for heat stress prevention, production perfor...

Multi-view hybrid graph convolutional network for volume-to-mesh reconstruction in cardiovascular MRI.

Cardiovascular magnetic resonance imaging is emerging as a crucial tool to examine cardiac morpholog...

MSFusion: A multi-source hybrid feature fusion network for accurate grading of invasive breast cancer using H&E-stained histopathological images.

Invasive breast cancer (IBC) is a prevalent malignant tumor in women, and precise grading plays a pi...

Browse Categories