Intensivists

AI-quantified Myosteatosis at CAC CT for Prediction of Atrial Fibrillation and Heart Failure: The Multi-Ethnic Study of Atherosclerosis.

Purpose To evaluate whether the artificial intelligence (AI)-quantified mean thoracic skeletal muscle (TSM) attenuation from coronary artery calcium (CAC) scans predicts incident cardiovascular disease (CVD), with a focus on atrial fibrillation (AF) and heart failure (HF). Materials and Methods Data from the Multi-Ethnic Study of Atherosclerosis, including participants without baseline CVD who und...

Multiomics Profiling Identifies Blood-Based Diagnostic Markers for Sepsis.

Sepsis, characterized by a rapid transition to systemic immune dysregulation and multiorgan failure, poses a formidable clinical challenge. The lack of spatiotemporally stable biomarkers severely impedes early diagnosis and risk stratification. By integrating large-scale transcriptomic profiling with machine learning algorithms, this study identified a robust three-gene diagnostic signature (TLR5,...

Modular RNA-seq Analytics for Exploratory Biomarker Discovery using Public Data.

Publicly available RNA sequencing (RNA-seq) data provide a cost-effective springboard for biomarker discovery. However, heterogeneity across studies o...

Recent advances in screening, diagnosis, prognosis and personalized treatment of sepsis.

Sepsis is a multi-system physiological syndrome defined as a dysregulated host response to infection. Despite recent advances clinicians continue to d...

A Novel Convolutional Neural Network-Based Algorithm for Heart Rate Measurement From Ballistocardiography Signals in Diverse Clinical Settings: Observational Study.

BACKGROUND: Continuous vital sign monitoring ensures early detection, prevents intensive care unit (ICU) admissions, and improves patient outcomes. Co...

Conformal reliability assessment of PPG-based ICU arrhythmia classification under class imbalance and patient heterogeneity.

Deep learning models for photoplethysmography (PPG)-based arrhythmia detection in intensive care are often evaluated by average accuracy, while confor...

Use of heart rate variability in prediction of clinical deterioration in critically ill hospitalised adults: a systematic review protocol.

INTRODUCTION: Heart rate variability (HRV) is a measurement derived from the beat-to-beat variation in heart rate and reflects the complex interaction...

Retraction Note: A diagnostic model for sepsis using an integrated machine learning framework approach and its therapeutic drug discovery.

The role of machine learning in early detection, accurate diagnosis, and timely treatment of diseases.

The contemporary healthcare landscape is experiencing a significant transformation driven by the rapid growth of digital health data and advancements ...

Screening of potential targets of (2S)-2'-methoxykurarinone against sepsis and in vivo verification in zebrafish model.

OBJECTIVE: To screen the potential core targets of (2S)-2'-Methoxykurarinone, a dimethyldihydroflavonoid derived from Sophora flavescens, against seps...

Artificial Intelligence-Assisted Triage in Emergency Departments: A Scoping Review of Clinical Applications, Outcomes, and Implementation Challenges.

OBJECTIVE: Emergency department (ED) triage determines patient prioritization, early risk recognition, and allocation of limited resources. Artificial...

Explainable deep learning for early sepsis detection from ICU time-series data using XAI techniques.

Sepsis is one of the most deadly illnesses with a high risk of mortality. Consequently, identifying it at the beginning of illness symptoms is crucial...

An Adaptive Spatiotemporal Graph Transformer for Multi-Site PM2.5 Multi-Step Forecasting with Non-stationary and Sparse-Aware Method.

Fine particulate matter (PM2.5) concentration is a critical indicator of air quality and is closely related to human health and ecological environment...

Integrating network pharmacology, machine learning, and molecular docking to explore the therapeutic mechanisms of Huangqin in atopic dermatitis: A STROBE-compliant observational study.

Atopic dermatitis (AD) is a chronic inflammatory skin disorder with complex pathogenesis, and current therapies face limitations in efficacy and safet...

Geometry-Encoded Programmable Mechanics in Single-Material Dual-Phase Metamaterials.

Programmable metamaterials that exhibit prescribed mechanical responses and adaptive deformation under external loading are highly desirable for multi...

Intracardiac Echocardiography-Guided Left Atrial Appendage Occlusion: A Comprehensive Narrative Review.

Intracardiac echocardiography (ICE) is an alternative to transesophageal echocardiography for imaging guidance during left atrial appendage occlusion ...

Retraction notice to "Essential blood molecular signature for progression of sepsis-induced acute lung injury: Integrated bioinformatic, single-cell RNA Seq and machine learning analysis" [Int. J. Biol. Macromol. 282 (2024) 136961].

From Lab to Fab: Path Forward for Multi-Scale Design of Industrial Anion Exchange Membrane Electrolyzers.

Anion exchange membrane water electrolysis (AEMWE) has emerged as a pivotal pathway bridging laboratory-scale research to large-scale hydrogen product...

clinTALL: machine learning-driven multimodal subtype classification and treatment outcome prediction in pediatric T-ALL.

BACKGROUND: Childhood T-lineage acute lymphoblastic leukemia (T-ALL) is an aggressive hematologic malignancy with poor prognosis. Differently from B-c...

Association of preoperative monocyte level with postoperative delirium in patients receiving cardiac surgery under propofol-based anesthesia: a retrospective study.

BACKGROUND: Postoperative delirium is a common complication after cardiac surgery, and perioperative inflammation may contribute to its development. H...