Hospital-Based Medicine

Intensivists

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

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Showing 2542-2562 of 6,181 articles
Multi-Knowledge Graph and Multi-View Entity Feature Learning for Predicting Drug-Related Side Effects.

Computational prediction of potential drug side effects plays a crucial role in reducing health risk...

Exploring treatment effects and fluid resuscitation strategies in septic shock: a deep learning-based causal inference approach.

Septic shock exhibits diverse etiologies and patient characteristics, necessitating tailored fluid m...

Explainable deep learning for age and gender estimation in dental CBCT scans using attention mechanisms and multi task learning.

Accurate and interpretable age estimation and gender classification are essential in forensic and cl...

Multi-view contrastive learning and symptom extraction insights for medical report generation.

The task of generating medical reports automatically is of paramount importance in modern healthcare...

Relationship between medication regimen complexity and pharmacist engagement in fluid stewardship.

PURPOSE: The medication regimen complexity intensive care unit (MRC-ICU) score has previously been a...

Bio inspired feature selection and graph learning for sepsis risk stratification.

Sepsis remains a leading cause of mortality in critical care settings, necessitating timely and accu...

Optimal Vasopressin Initiation in Septic Shock: The OVISS Reinforcement Learning Study.

IMPORTANCE: Norepinephrine is the first-line vasopressor for patients with septic shock. When and wh...

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...

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...

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...

Explainable Machine Learning with Two-Layer Multi-Objective Optimization Algorithm Applied to Sealing Structure Design.

This study addresses the challenge of optimizing seal structure design through a novel two-stage int...

Medication Recommender System for ICU Patients Using Autoencoders.

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

Federated Learning for Predictive Analytics in Weaning from Mechanical Ventilation.

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

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...

Assessing Healthcare Stakeholder Understanding of Machine Learning Documentation.

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

Predicting 1-Year Survival Using Machine Learning in Very Old Patients Before ICU Admission.

Discussions about the benefits of admitting very old individuals to intensive care unit (ICU) remain...

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