Critical Care

A clinicians' guide to non-invasive ventilation for exacerbated chronic obstructive pulmonary disease.

INTRODUCTION: Chronic Obstructive Pulmonary Disease (COPD) is a debilitating condition marked by per...

Deep Learning-Enhanced Hand-Driven Spatial Encoding Microfluidics for Multiplexed Molecular Testing at Home.

The frequent global outbreaks of viral infectious diseases have significantly heightened the urgent ...

Identifying propionate metabolism-related genes as biomarkers of sepsis development and therapeutic targets.

The treatment of sepsis is challenging due to unclear mechanisms. Propionate is increasingly seen as...

Implementing Artificial Intelligence in Critical Care Medicine: a consensus of 22.

Artificial Intelligence (AI) is rapidly transforming the landscape of critical care, offering opport...

ICU scoring systems: current perspectives and future directions.

PURPOSE OF REVIEW: This review aims to summarize the recent publications and future perspectives on ...

Predictive models of influenza A virus lethal disease yield insights from ferret respiratory tract and brain tissues.

Collection of systemic tissues from influenza A virus (IAV)-infected ferrets at a fixed timepoint po...

Role of artificial intelligence in ICU therapeutic decision-making for severe infections.

PURPOSE OF REVIEW: To discuss current and future role of artificial intelligence in predicting sever...

Improving AI-Based Clinical Decision Support Systems and Their Integration Into Care From the Perspective of Experts: Interview Study Among Different Stakeholders.

BACKGROUND: Artificial intelligence (AI)-based systems are receiving increasing attention in the hea...

Effectiveness of a smart management system in improving adherence and clinical outcomes of patients receiving peritoneal dialysis: a retrospective cohort analysis.

BACKGROUND: Peritoneal dialysis (PD) is a widely used form of home dialysis. However, the efficacy o...

Filter-type neural network-based counter-pulsation control in pulsatile ECMO: improving heartbeat-pulse discrimination and synchronization accuracy.

Implementing counter-pulsation (CP) control in pulsatile extracorporeal membrane oxygenator (p-ECMO)...

Imaging and pulmonary function techniques in ARDS diagnosis and management: current insights and challenges.

Acute Respiratory Distress Syndrome (ARDS) is a life-threatening condition characterized by acute on...

Combination of machine learning and protein‑protein interaction network established one ATM‑DPP4‑TXN ferroptotic diagnostic model with experimental validation.

Ferroptosis and lethal sepsis are interlinked, although this association remains largely unknown to ...

Disease Classification of Pulmonary Xenon Ventilation MRI Using Artificial Intelligence.

RATIONALE AND OBJECTIVES: Hyperpolarized Xenon magnetic resonance imaging (MRI) measures the extent ...

5-Hydroxymethylcytosine signatures as diagnostic biomarkers for septic cardiomyopathy.

At present, there are currently no molecular biomarkers for the early diagnosis of sepsis cardiomyop...

Visit-to-visit blood pressure variability as a prognostic marker in peritoneal dialysis: insights from machine learning-based risk models.

Machine learning-based predictive tools and nomogram for in-hospital mortality in critically ill cancer patients: development and external validation using retrospective cohorts.

BACKGROUND: The incidence of intensive care unit (ICU) admissions and the corresponding mortality ra...

Development and external validation of machine learning models for the early prediction of malnutrition in critically ill patients: a prospective observational study.

BACKGROUND: Early detection of malnutrition in critically ill patients is crucial for timely interve...

The emerging role of artificial intelligence in heart failure.

Heart Failure is a prevalent disease with significant impacts on morbidity and mortality. Heart fail...

Deep learning framework for cardiorespiratory disease detection using smartphone IMU sensors.

Respiratory and cardiovascular diseases represent a significant global health burden, underscoring t...

Predicting Unplanned Intubations in Rib Fracture Patients: An Interpretable Machine Learning Approach.

BackgroundTraumatic rib fractures can lead to respiratory complications necessitating unplanned intu...

Machine learning for the prediction of urosepsis using electronic health record data.

Urosepsis, a medical condition resulting from the progression of urinary tract infection (UTI), is a...