Critical Care

Development and evaluation of an ontology for non-invasive respiratory support in acute care.

Managing patients with respiratory failure increasingly involves non-invasive respiratory support (N...

Contemporary heart failure evidence in 2025: a joint summary of key trials from the European Journal of Heart Failure and ESC Heart Failure Journal.

Heart failure (HF) remains a major global health challenge, characterized by high morbidity, mortali...

Engineering biomarker representations of vital signs data enhances deep learning mortality prediction.

OBJECTIVES: We evaluated bidirectional long short-term memory models for predicting inpatient mortal...

Optimized explainable AI and digital twin for patient flow improvement in ICU during respiratory epidemics.

BACKGROUND: Respiratory epidemics often place substantial pressure on intensive care units (ICU), wh...

Data-driven outcome prediction and rational resource allocation in severe traumatic brain injury: a multicenter retrospective study integrating survival analysis and machine learning ensembles.

INTRODUCTION: Severe traumatic brain injury (sTBI), is a leading cause of death and disability among...

Multi-Stage Respiratory Sound Analysis: Confidence-Driven Wheeze and Crackle Detection.

OBJECTIVE: Accurate detection of adventitious respiratory sounds, such as wheezes and crackles, is e...

Research Topics and Trends in MIMIC-IV: A Large ICU Database Relevant for Critical Care Nursing.

BACKGROUND: The Medical Information Mart for Intensive Care-IV (MIMIC-IV) clinical database has beco...

ICU Nurses' Perspectives on Artificial Intelligence in Adult Intensive Care Units: Knowledge, Attitudes and Job-Security Concerns.

BACKGROUND: Artificial intelligence (AI) is increasingly integrated into healthcare, particularly in...

Assessment of Pain Intensity Using Deep Learning Models in Non-Communicative Intensive Care Patients.

BACKGROUND: Pain is a multifaceted and subjective phenomenon frequently experienced by patients in i...

Prehospital Risk Stratification Using Unsupervised Machine Learning in STEMI.

BACKGROUND: ST-elevation myocardial infarction (STEMI) exhibits substantial clinical heterogeneity c...

Artificial intelligence-assisted risk prediction of postoperative pulmonary complications in non-small cell lung cancer surgery.

BACKGROUND: Pulmonary complications are the most frequent adverse events following surgery for non-s...

A multi-target drug design method based on target feature fusion.

BACKGROUND: Targeted drugs are medications designed to treat diseases by targeting specific sites on...

Hybrid deep learning and YAMNet features for asthma diagnosis from respiratory sounds.

A prompt and precise diagnosis is necessary to lessen the worldwide burden of asthma, a common chron...

Pleiotropy and disease interactors: the dual nature of genes linking ageing and ageing-related diseases.

Ageing-related diseases (ARDs) display diverse phenotypes yet share an age-dependent rise in inciden...

The role of mechanical power in lung ventilation for the prevention of ventilator-induced lung injury: a narrative review.

Ventilator-induced lung injury continues to limit outcomes in patients with acute respiratory failur...

Therapeutic targeting of Respiratory Syncytial Virus: Current pharmacological options and future directions in antiviral development.

Respiratory syncytial virus (RSV) remains a major cause of severe acute respiratory infections acros...

Machine learning models for predicting limb ischemia during VA-ECMO: an analysis of the Chinese extracorporeal life support registry.

DFCNet: A Precise Detection Approach for Obstructive Sleep Apnea-Hypopnea Events Using Airflow and Respiratory Effort Signals.

OBJECTIVE: The diagnosis of Sleep Apnea-Hypopnea Syndrome (SAHS) holds significant importance for as...

MIMIC-III-Ext-PPG, a PPG-based Benchmark Dataset for Cardiovascular and Respiratory Signal Analysis.

We present MIMIC-III-Ext-PPG, a large-scale, quality-assessed photoplethysmography (PPG) dataset der...

From interfacial stabilization to maintainable operation: fouling-resilient synthetic urine valorization by bipolar membrane electrodialysis.

Bipolar membrane electrodialysis (BMED) is a promising route for urine valorization, yet practical d...

Risk prediction models for imported infectious diseases: A systematic review.

OBJECTIVES: Accurate prediction models for imported infectious diseases are essential for early warn...