Latest AI and machine learning research in critical care for healthcare professionals.
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...
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...
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a major contributor to global morbidity ...
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...
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...
INTRODUCTION: Medical device recalls are important to the practice of emergency medicine, as unsafe ...
Host-response-based diagnostics can improve the accuracy of diagnosing bacterial and viral infecti...
The control of Biomedical Systems in Physical Human-Robot Interaction (pHRI) plays a pivotal role ...
This study proposes a novel lightweight neural network model leveraging features extracted from el...
The collection of updated data on social contact patterns following the COVID-19 pandemic disrupti...
The emergence of Vision-Language Models (VLMs) is a significant advancement in integrating compute...