Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Stroke is a neurological complication that can occur in patients admitted to the intensive care unit...
PurposeWe aimed to investigate the external validation and performance of an FDA-approved deep learn...
BACKGROUND: Globally, the rates at which the aging population and the prevalence of chronic diseases...
BACKGROUND: Screening for frequent hospitalizations in the community can help prevent super-utilizer...
BACKGROUND: The burden of atrial fibrillation (AF) in the intensive care unit (ICU) remains heavy. G...
Mobile collaborative intelligent nursing robots have gained significant attention in the healthcare ...
BACKGROUND: Machine learning (ML) refers to computational algorithms designed to learn from patterns...
IntroductionTraumatic brain injury (TBI) is a leading cause of disability and mortality worldwide, w...
The global burden of infectious diseases significantly affects mortality rates, with their varying s...
BACKGROUND: Accurate hospital length of stay (LoS) prediction enables efficient resource management....
Time-to-event prediction, e.g. cancer survival analysis or hospital length of stay, is a highly prom...
Hyponatremia can worsen the outcomes of patients with liver cirrhosis. However, it remains unclear a...
BACKGROUND: Among no-touch automated disinfection devices, ultraviolet-C (UV-C) radiation has been p...
The Nugent score is a commonly used diagnostic tool for bacterial vaginosis. However, its accuracy d...
This study aims to develop a Machine Learning model to assess the risks faced by COVID-19 patients i...
BACKGROUND: Stroke recurrence readmission poses an additional burden on both patients and healthcare...
BACKGROUND: Heart failure combined with hypertension is a major contributor for elderly patients (≥ ...
BACKGROUND: Heart failure with preserved ejection fraction (HFpEF) is associated with elevated rates...
BACKGROUND: Social determinants of health (SDOH) have been shown to be important predictors of healt...
Face detection is a multidisciplinary research subject that employs fundamental computer algorithms,...
The integration of large language models (LLMs) in clinical medicine, particularly in critical care,...