Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
High inpatient opioid exposure is associated with increased risk of persistent opioid use. Early ide...
Cardiac surgery patients experience rapidly evolving hemodynamics in early post-operative period req...
Hypertrophic cardiomyopathy (HCM) requires accurate risk stratification to inform decisions regardin...
Background: Artificial intelligence (AI) has rapidly garnered interest in healthcare, with research ...
Atrial fibrillation (AF) is the most prevalent cardiac arrhythmia worldwide and is strongly associat...
Background Narcolepsy is a rare, lifelong neurological disorder that often begins in childhood or ad...
Background Chronic subdural hematoma (cSDH) recurrence requiring reoperation occurs in 5-33% of case...
This study assesses whether self-supervised learning (SSL) improves knee osteoarthritis (OA) modelin...
Deploying clinical ML is slow and brittle: models that work at one hospital often degrade under dist...
Modern clinical practice increasingly depends on reasoning over heterogeneous, evolving, and incompl...
Epilepsy is a chronic neurological disorder requiring multi-faceted management, including seizure de...
Modern clinical practice increasingly depends on reasoning over heterogeneous, evolving, and incompl...
Objective: To develop and validate a multivariable prediction model and clinically actionable risk s...
Background: The administrative burden of clinical documentation is a recognised contributor to clini...
Objective: To evaluate a ranking approach for emergency department (ED) waiting room prioritization ...
Background: This study aims to develop and validate federated learning models for predicting major p...
Brief Hospital Course (BHC) narratives must be clinically useful yet faithful to fragmented EHR evid...
Hospital artificial intelligence (AI) and robotics are spreading unevenly across the United States, ...
Abstract Background: Echocardiography (echo) notes contain valuable prognostic information for patie...
Background: Previous research has shown that radiomics-based machine learning models are promising p...
Background: Cardiovascular disease (CVD) readmissions impose substantial clinical and economic burde...