Critical Care

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, mortality, and healthcare costs despite substantial advances in pharmacological, device-based, and structural therapies. Its increasing prevalence reflects population ageing, improved survival after myocardial infarction, and the rising burden of cardiometabolic disease, while growing clinical heterogeneit...

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

OBJECTIVES: We evaluated bidirectional long short-term memory models for predicting inpatient mortality using different approaches to processing vital signs data collected during the initial 24 h of intensive care unit (ICU) admissions. MATERIALS AND METHODS: We compared 3 vital-sign representations: (1) raw data recorded every 5 min, (2) preprocessed data averaged hourly, and (3) preprocessed dat...

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), which are continuously challenged to managing acute ...

Rice LAI estimation using UAV-based multi-parameter fusion at the booting stage.

The leaf area index (LAI) is a key parameter for characterizing crop growth and water use efficiency. Therefore, efficient and accurate monitoring of ...

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 young and middle-aged populations worldwide. OBJE...

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

OBJECTIVE: Accurate detection of adventitious respiratory sounds, such as wheezes and crackles, is essential for diagnosing and managing respiratory c...

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 become a central resource for data-driven critical car...

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 adult intensive care units (ICUs), yet nurses' kn...

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 intensive care units. In non-communicating populati...

Prehospital Risk Stratification Using Unsupervised Machine Learning in STEMI.

BACKGROUND: ST-elevation myocardial infarction (STEMI) exhibits substantial clinical heterogeneity complicating prehospital risk stratification. Tradi...

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-small cell lung cancer (NSCLC), influencing both sh...

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 cancerous or diseased cells. Multi-target drugs c...

Advanced Persistent Threat detection through Sequential Analysis of Network patterns with Graph based Learning approach.

Advanced Persistent Threat (APT) attack pose significant challenges due to their sophisticated, multi-stage attack patterns, particularly in the rapid...

Large scale multi-class pest image classification using structurally adapted DenseNet architecture.

The United Nations' Sustainable Development Goals, SDG 12: Responsible Consumption and Production, and SDG 13: Climate Action highlight the importance...

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 chronic respiratory condition. Spirometry is one of the...

Attention-enhanced spatiotemporal deep learning for predictive maintenance in oil and gas assets: towards Maintenance 5.0.

The adoption of Maintenance 5.0 signifies a shift towards an advanced level of human-centered asset management that prioritizes self-sufficiency, resi...

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 incidence, suggesting mechanistic links with ageing proce...

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 failure despite established lung-protective strategies.M...

Capturing "source" and "evolution": A 5-year recurrence risk prediction model for nasopharyngeal carcinoma based on integrated radiomic spatial heterogeneity of primary tumor and lymph nodes.

OBJECTIVE: This study aims to deeply mine the radiomic features of the primary tumor (GTVp) and cervical metastatic lymph nodes (GTVn) in nasopharynge...

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