Latest AI and machine learning research in critical care for healthcare professionals.
Intubation and mechanical ventilation are associated with high mortality. Accurately predicting whic...
Accurate disease progression prediction is vital for managing critically ill patients in intensive c...
Aortic valve calcification (AVC), as measured by gold-standard computed tomography (CT) Agatston sco...
Preoperative cardiovascular (CV) risk stratification is essential in non-cardiac surgery, but conven...
To develop and validate machine learning models for predicting Blood Pressure (BP) control status us...
Accurate prediction of neurological outcome after cardiac arrest is essential for guiding intensive ...
Disease management for heart failure with preserved ejection fraction (HFpEF) requires understanding...
Electronic health records (EHRs) provide a large source of data that can be used for research purpos...
This study introduces a novel transformer-based ensemble framework for the multi-label detection of ...
The increasing availability of electronic health records (EHRs) provides opportunities to apply mach...
To develop machine-learning models for sleep stage classification, arousal detection, and respirator...
Early prediction of in-hospital death remains a significant challenge due to the limited availabilit...
Rare events, despite their infrequency, often carry critical information and require immediate att...
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a major contributor to global morbidity ...
INTRODUCTION: Heart Failure (HF) complicated by thyroid dysfunction presents a complex clinical chal...
OBJECTIVE: The purpose of this study was to develop and validate machine learning models that can pr...
BACKGROUND: Evidence suggests a bidirectional association between chronic obstructive pulmonary dise...
Sepsis is a life-threatening systemic inflammatory syndrome characterized by a complex immune biphas...
Personal protective equipment (PPE) is critical for ensuring the safety of construction workers. How...
OBJECTIVES: This study aims to improve the ethical use of machine learning (ML)-based clinical predi...
This study aimed to develop and validate a nomogram based on lymphocyte subtyping and clinical facto...