Intensivists

Predictive modelling of survival and length of stay in critically ill patients using sequential organ failure scores.

INTRODUCTION: The length of stay of critically ill patients in the intensive care unit (ICU) is an i...

Mortality prediction in intensive care units with the Super ICU Learner Algorithm (SICULA): a population-based study.

BACKGROUND: Improved mortality prediction for patients in intensive care units is a big challenge. M...

Mortality prediction in ICU: a methodological advance.

Detection of temporal lobe epilepsy using support vector machines in multi-parametric quantitative MR imaging.

The detection of MRI abnormalities that can be associated to seizures in the study of temporal lobe ...

Procalcitonin Strip Test as an Independent Predictor in Acute Pancreatitis.

Plasma procalcitonin (PCT) is a highly specific marker for the diagnosis of bacterial infection and ...

Prediction of peripheral blood lymphocyte subpopulations after renal transplantation.

Immune monitoring is essential for maintaining immune homeostasis after renal transplantation (RT). ...

Modeling multi-scale uncertainty with evidence integration for reliable polyp segmentation.

Polyp segmentation is critical in medical image analysis. Traditional methods, while capable of prod...

Generative deep learning model assisted multi-objective optimization for wastewater nitrogen to protein conversion by photosynthetic bacteria.

For decades, the photosynthetic bacteria (PSB)-based nitrogen treatment and valorization from wastew...

Multi-view graph clustering with Dually Enhanced Tensor Rank Minimization and Diverse Separation of Inconsistent Information.

Multi-view graph clustering is a powerful machine-learning technique for data analysis. However, mos...

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...

Unveiling Microscopic Mechanisms of Chemical Mechanical Polishing via Multi-Scale Theoretical Calculations.

Chemical mechanical polishing (CMP) is a critical planarization technique that combines chemical rea...

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...

Managing waste for production of low-carbon concrete mix using uncertainty-aware machine learning model.

This study introduces an uncertainty-aware AI-driven optimization framework for designing sustainabl...

Understanding Clinicians' Usage Patterns of the CONCERN Early Warning System: Insights from a Multi-Site Pragmatic Cluster Randomized Controlled Trial.

The CONCERN Early Warning System (EWS) uses artificial intelligence (AI) to analyze nursing document...

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...

From Internal Validation to External Validation: An Artificial Intelligence-Based Study on Predicting Optimal Timing for Mechanical Ventilation Weaning in ICU Patients.

Mechanical ventilation weaning is critical for ICU patients, as prolonged or premature use can cause...

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...