Intensivists

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 (...

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 in...

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 r...

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 per...

Memory-augmented graph neural networks for multi-class cardiovascular disease recognition from 12-lead ECG signals.

BACKGROUND AND OBJECTIVE: Cardiovascular disease recognition from electrocardiogram (ECG) requires c...

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

Using publicly accessible Reddit posts, we developed a manually annotated dataset for traditional an...

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 e...

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 Lan...

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 di...

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...

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-...

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...

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 cos...

Wide-range and multi-target trace-level quantification of renal biomarkers in serum via a chromatography-SERS-AI platform.

BACKGROUND: Trace blood analysis (TBA) holds irreplaceable value in chronic disease management, elde...

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 scor...

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 in...

A machine learning system enables just-in-time risk-stratified sepsis evaluations in the neonatal intensive care unit.

INTRODUCTION: NICU sepsis evaluation balances rapid antibiotic administration for mortality reductio...

Benchmarking Multi-Modal Artificial Intelligence Models Against Student Performance: The Role of Question Characteristics in Objective Structured Practical Dental Examinations.

BACKGROUND: Objective Structured Practical Dental Examinations (OSPDEs) are high-stakes assessments ...

Measuring multi-site pulse transit time with an AI-enabled mmWave radar.

Pulse Transit Time (PTT) is a measure of arterial stiffness and a physiological marker associated wi...

Mean airway pressure as an independent risk factor for developing acute kidney injury in mechanically ventilated critically ill patients: a multi-center retrospective analysis.

Mechanical ventilation is a well-recognized risk factor for acute kidney injury (AKI), but the speci...