Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
INTRODUCTION AND AIMS: For decades, orthodontic diagnosis and treatment have primarily depended on p...
Introduction: Ischemic stroke is a leading cause of mortality, and patients requiring intensive care...
BACKGROUND: Effective postdischarge management is essential for maintaining disease control and impr...
OBJECTIVES: Healthcare systems are now funding implementation of artificial intelligence (AI) algori...
BACKGROUND: People with stroke face a high mortality risk, and an accurate prediction model is essen...
BACKGROUND: Severity scoring systems are increasingly important tools for stratifying hospitalised p...
OBJECTIVES: Emergency Department Information Systems (EDIS) are essential digital technology used in...
There is growing interest in understanding how generative artificial intelligence (GenAI) can suppor...
OBJECTIVE: Acute pancreatitis (AP) is a life-threatening disorder commonly observed in emergency dep...
BACKGROUND: Acute pancreatitis (AP) is a common gastrointestinal emergency characterized by unpredic...
Healthcare leaders face sustained uncertainty: workforce volatility, financial pressure, and acceler...
OBJECTIVE: Use artificial intelligence (AI) to extend the Sydney triage to admission risk tool (STAR...
OBJECTIVE: To design, validate, and implement a tool based on a machine-learning model capable of pr...
Cardiac arrhythmia is increasingly encountered in patients with cancer, not only as a result of shar...
Pararescue jumpers are United States Air Force medical tactical operators who provide advanced traum...
Health recommender systems (HRSs) enhance prognostication by leveraging clinical information. Existi...
INTRODUCTION: Accurate and timely documentation during surgical ward rounds is critical for ensuring...
BACKGROUND: Clinical Decision Support (CDS) tools integrated with Electronic Health Records increasi...
Pulmonary embolism (PE) is a common and potentially fatal venous thromboembolic disease. Traditional...
UNLABELLED: Machine learning (ML) models have shown promise improving outcome prediction and early r...
Polycyclic aromatic hydrocarbons (PAHs) are persistent organic pollutants posing significant threats...