Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
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: 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...
As a primary method for tissue repair and functional reconstruction, flap transplantation has achiev...
AIMS: To describe nurses' experiences in managing malnutrition in hospitalized adults and providing ...
OBJECTIVES: This study aimed to identify high-risk factors for type 2 diabetes and develop a machine...
Anesthesia for pediatric neurosurgery represents a highly complex and challenging field, characteriz...
BACKGROUND: Deaf individuals often face communication challenges when interacting with those who can...
BACKGROUND: Among children's hospitals with integrated high-risk prenatal care and birthing faciliti...
This narrative review explores the complex relationship between lower urinary tract symptoms (LUTS) ...
INTRODUCTION: Artificial intelligence (AI) has advanced rapidly in healthcare; however, its applicat...
Continuous stream nitrate data is critical for understanding nutrient dynamics and informing managem...
INTRODUCTION: Intensive care is under increasing pressure due to demographic changes, availability o...