Hospital-Based Medicine

Intensivists

Latest AI and machine learning research in intensivists for healthcare professionals.

6,135 articles
Stay Ahead - Weekly Intensivists research updates
Subscribe
Browse Specialties
Showing 400-420 of 6,135 articles
Large Language Model-Driven Knowledge Graph Construction in Sepsis Care Using Multicenter Clinical Databases: Development and Usability Study.

BACKGROUND: Sepsis is a complex, life-threatening condition characterized by significant heterogenei...

Temporal and spatial feature extraction using graph neural networks for multi-point water quality prediction in river network areas.

Deep learning methods have demonstrated strong capabilities in capturing nonlinear relationships for...

Role of physics-informed constraints in real-time estimation of 3D vascular fluid dynamics using multi-case neural network.

Numerical simulations of fluid dynamics in tube-like structures are important to biomedical research...

Bio-inspired neural networks with central pattern generators for learning multi-skill locomotion.

Biological neural circuits, central pattern generators (CPGs), located at the spinal cord are the un...

CasPro-ESM2: Accurate identification of Cas proteins integrating pre-trained protein language model and multi-scale convolutional neural network.

Cas proteins (CRISPR-associated protein) are the core components of the CRISPR-Cas system, playing c...

Explainable SHAP-XGBoost models for pressure injuries among patients requiring with mechanical ventilation in intensive care unit.

pressure injuries are significant concern for ICU patients on mechanical ventilation. Early predicti...

Multi-modal MRI synthesis with conditional latent diffusion models for data augmentation in tumor segmentation.

Multimodality is often necessary for improving object segmentation tasks, especially in the case of ...

Student dropout prediction through machine learning optimization: insights from moodle log data.

Student attrition and academic failure remain pervasive challenges in education, often occurring at ...

TSCMamba: Mamba Meets Multi-View Learning for Time Series Classification.

Multivariate time series classification (TSC) is critical for various applications in fields such as...

A hybrid object detection approach for visually impaired persons using pigeon-inspired optimization and deep learning models.

Visually challenged persons include a significant part of the population, and they exist all over th...

Infusing Multi-Hop Medical Knowledge Into Smaller Language Models for Biomedical Question Answering.

MedQA-USMLE is a challenging biomedical question answering (BQA) task, as its questions typically in...

The impact of multi-modality fusion and deep learning on adult age estimation based on bone mineral density.

INTRODUCTION: Age estimation, especially in adults, presents substantial challenges in different con...

Explainable attention-enhanced heuristic paradigm for multi-view prognostic risk score development in hepatocellular carcinoma.

PURPOSE: Existing prognostic staging systems depend on expensive manual extraction by pathologists, ...

Multi-agent large language model frameworks: Unlocking new possibilities for optimizing wastewater treatment operation.

Wastewater treatment plants (WWTPs) are highly complex systems where biological, chemical, and physi...

Subphenotyping prone position responders with machine learning.

BACKGROUND: Acute respiratory distress syndrome (ARDS) is a heterogeneous condition with varying res...

Predicting infant brain connectivity with federated multi-trajectory GNNs using scarce data.

The understanding of the convoluted evolution of infant brain networks during the first postnatal ye...

Utilizing SMOTE-TomekLink and machine learning to construct a predictive model for elderly medical and daily care services demand.

This study aims to construct a prediction model for the demand for medical and daily care services o...

Browse Specialties