Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
BACKGROUND: In clinical stage IA lung adenocarcinoma (LUAD), rapid and accurate intraoperative diagn...
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...
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...
OBJECTIVES: The increasing administrative burden associated with electronic health records has contr...
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...
PURPOSE: To develop and validate models to identify pre-myopic children from their myopic and hypero...
BACKGROUND: Bloodstream infections (BSI) remain a major cause of morbidity and mortality in preterm ...
Risk stratification during hospitalization may support real-world discharge planning. We developed a...
BACKGROUND: Post-COVID19 pulmonary fibrosis (PCPF) has been reported in a significant proportion of ...
OBJECTIVES: Suicide risk assessments currently rely on subjective clinical judgement, lacking object...
BACKGROUND: We aimed to evaluate the impact of implementing an artificial intelligence (AI)-enabled ...
OBJECTIVE: We used machine learning (ML) to develop firearm risk prediction models for injured child...