Intensivists

Plasticizer-responsive molecular axes in heart failure: a subtype-aware toxicogenomic framework relevant to environmental health.

Environmental exposure to synthetic chemicals has been associated with cardiovascular risk, yet mechanistic connections between real-world chemical mixtures and heart failure heterogeneity remain incompletely characterized. Here we present a mixture-aware toxicogenomic framework that integrates multi-cohort human cardiac transcriptomes with function-based grouping of 37 plasticizers. Using multi-r...

Monitoring What Matters: Artificial Intelligence, Inspiratory Effort, and Patient-Ventilator Interaction in the ICU.

HiRMD: A System for Mortality Prediction via LLM-Based High-Risk Information Extraction and Diagnosis.

OBJECTIVE: To improve in-hospital mortality prediction from longitudinal electronic health records (EHRs) by extracting mortality-related high-risk cl...

A Hierarchical Multimodal Framework for Sedation Monitoring in ICU Patients.

In the intensive care unit (ICU), monitoring sedation levels is crucial. Clinicians often rely on intermittent behavioral scales like the Richmond Agi...

Perceptions of Intensive Care Nurses Toward Artificial Intelligence Technologies: A Qualitative Study.

Intensive care nurses play a pivotal role in patient care; however, their perceptions and concerns regarding artificial intelligence (AI) in intensive...

3D object detection for vehicle-mounted LiDAR based on deep learning and euclidean clustering algorithm.

Object Detection (OD) stands as a fundamental task in the area of autonomous driving environment perception. This study introduces a 3D OD method grou...

A cannabis use Reddit dataset for aspect-based sentiment analysis.

Using publicly accessible Reddit posts, we developed a manually annotated dataset for traditional and aspect-based sentiment analysis (ABSA) of cannab...

MRI-based deep learning radiomics model for automated classification of disc degeneration in the lumbar spine.

Disc degeneration in the lumbar spine is a major cause of low back pain (LBP). The accurate grading of disc degeneration on magnetic resonance imaging...

Association between the development of sepsis and the BAR index in patients with acute pancreatitis: A retrospective investigation based on MIMIC-IV database.

Sepsis, as a severe complication of acute pancreatitis (AP), needs to be identified and treated as early as possible. The blood urea nitrogen-to-album...

Evaluation of two large language models for intensive care unit discharge decisions: a prospective observational cohort study.

BACKGROUND: The aim of this study was to evaluate the effectiveness of two general-purpose Large Language Models (LLMs), ChatGPT and Gemini, in predic...

YOLOv10-based multi-scale variant object detection for multi-category PPE non-compliance monitoring on construction sites.

Multi-category Personal Protective Equipment (PPE) non-compliance monitoring on construction sites remains challenging because visual cues for missing...

The Tip of the Iceberg: Pathway Biology Must Anchor the Next Generation of Critical Care Trials.

Heterogeneity of treatment effect has yielded decades of negative critical care trials. Syndromic diagnoses like sepsis and acute respiratory distress...

Machine learning-driven multi-objective optimization of Gyroid bioglass scaffolds for site-specific biomechanical adaptation.

The clinical translation of scaffold-driven bone regeneration is hindered by an inherent topological paradox between mechanical integrity and mass tra...

Evaluation of the accuracy, quality, and readability of large language models on local anesthesia and general anesthesia-sedation in dentistry.

PURPOSE: This study aims to compare the responses provided by commonly used artificial intelligence-based chatbots such as ChatGPT-3.5, ChatGPT-4o, Ge...

Nonlinear meteorological controls on coastal air quality along the Indian East Coast: Insights from a multi-city interpretable machine learning framework.

This study investigates the role of meteorological variability in shaping ambient air quality across five coastal cities along the Indian East Coast (...

Deriving Clavien-Dindo Classification from Administrative Data: Development and External Validation in Hepatobiliary Surgery.

INTRODUCTION: Routine electronic health records (HER)/administrative data could enable time- and cost-efficient, real-time surveillance and health-eco...

Machine-learning algorithms identifies sTREM1 has a key biomarker for outcome prediction in critically ill.

INTRODUCTION: Prognostic assessment in critically ill patients traditionally relies on severity scores or single biomarkers, each with limited ability...

EZPro-Multi: Contrastive Learning-Enhanced Multi-property Prediction for Enzyme Engineering.

Accurately predicting the functional attributes of enzyme mutants is crucial for accelerating enzyme engineering and optimizing biocatalytic systems. ...

A case-aware feature modulation framework for defect classification in power lines.

Conductors and grounded transmission towers are separated by non-conductive overhead transmission line insulators are known as materials. They frequen...

Association of triglyceride-cholesterol-body weight index with in-hospital mortality in critically ill patients with heart failure.

Malnutrition and metabolic abnormalities are common in patients with heart failure (HF) requiring intensive care unit (ICU) admission and are associat...