Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
In an increasingly specialized medical landscape, Patient Blood Management (PBM) has emerged as a mu...
BACKGROUND: The integration of robotic systems into nursing practice is increasingly discussed as a ...
AIMS: To identify body temperature dynamic patterns and develop a machine learning model for the ear...
Intraoperative hypotension (IOH) is a frequent occurrence during noncardiac surgery. Hypotensive epi...
BACKGROUND: The prevalence of severe symptomatic aortic stenosis is increasing with population aging...
BACKGROUND: Accurate perioperative risk stratification is essential to patient safety and informed c...
BACKGROUND: Amid growing demands and constrained health care resources, effective hospital bed capac...
BACKGROUND: Digital health tools integrating electronic patient-reported outcome and experience meas...
BACKGROUND: Only 13.7% of corticosteroid treatments occurred within the most effective treatment tim...
OBJECTIVES: Early sepsis and stroke recognition by emergency medical services (EMS) improves triage,...
BACKGROUND: Oropharyngeal dysphagia (OD) commonly occurs in patients with COVID-19 disease, posing d...
In this cross-sectional observational study, we developed a computer vision-based machine-learning m...
BACKGROUND: Diffusion-weighted imaging (DWI) infarct volume and infarct growth are important imaging...
BACKGROUND: The increasing prevalence of patients with hyperpolypharmacy (> 10 medications) has made...
The promotion and application of pulmonary function tests (PFTs) in China have achieved preliminary ...
BACKGROUND: Osteoporosis is a major global health issue, but current early screening tools lack accu...
PURPOSE/AIMS: Accurately predicting 30-day unplanned readmission in older adults is critical for imp...
Neurological prognostication of patients in post-traumatic coma remains challenging due to the pauci...
BACKGROUND: Healthcare organisations are facing major challenges, including workforce shortages, ris...
Machine learning models are increasingly used in clinical research to predict patient outcomes, yet ...
OBJECTIVE: To explore the utility of natural language processing (NLP) and machine learning (ML) tec...