Latest AI and machine learning research in intensivists for healthcare professionals.
BACKGROUND: Several studies explored factors related to adverse clinical outcomes among COVID-19 pat...
This study examines GPT-4o's ability to communicate effectively with relatives of patients undergoi...
Ophthalmic anesthesia the crucial factors in success and safety of ophthalmic surgery, which involve...
Subtractive genomics is an adaptable bioinformatics technique that is used to identify potential the...
This scoping review systematically examines the emerging field of multimodal family engagement techn...
BACKGROUND: Early identification and prevention of ventilator-associated pneumonia (VAP) in patients...
This study presents a new design for a multi-degree-of-freedom underdriven mechanism. The aim is to ...
Patient-ventilator asynchrony (PVA) is a challenge to invasive mechanical ventilation characterized ...
The COmmunicating Narrative Concerns Entered by RNs (CONCERN) early warning system (EWS) uses real-t...
BACKGROUND: Delirium in intensive care unit (ICU) patients poses a significant challenge, affecting ...
Ventilator-associated pneumonia significantly increases morbidity, mortality, and healthcare costs a...
BACKGROUND: Sepsis, a severe systemic response to infection, frequently results in adverse outcomes,...
The advent of high-throughput sequencing technologies, such as DNA microarray and DNA sequencing, ha...
OBJECTIVE: This study aims to construct and compare four machine learning models using the MIMIC-IV ...
pressure injuries are significant concern for ICU patients on mechanical ventilation. Early predicti...
Student attrition and academic failure remain pervasive challenges in education, often occurring at ...
Visually challenged persons include a significant part of the population, and they exist all over th...
BACKGROUND AND OBJECTIVE: Elderly patients with Chronic obstructive pulmonary disease (COPD) and res...
BACKGROUND: Acute respiratory distress syndrome (ARDS) is a heterogeneous condition with varying res...
Sepsis represents a significant global health challenge, necessitating early detection and effective...
BACKGROUND: Timely and accurate outcome prediction is essential for clinical decision-making for isc...