As data-driven science, artificial intelligence (AI) has paved a promising path toward an
evolving health system teeming with thrilling opportunities for precision oncology …

Artificial intelligence (AI) is increasingly being utilized in healthcare. This article provides
clinicians and researchers with a step-wise foundation for high-value AI that can be applied …

Background The reporting of machine learning (ML) prognostic and diagnostic modeling
studies is often inadequate, making it difficult to understand and replicate such studies. To …

Abstract Background and Aims Early diagnosis of aortic stenosis (AS) is critical to prevent
morbidity and mortality but requires skilled examination with Doppler imaging. This study …

Aims For patients with diabetes, the European guidelines updated the cardiovascular
disease (CVD) risk prediction recommendations using diabetes-specific models with age …

Abstract Machine learning technologies and translation of artificial intelligence tools to
enhance the patient experience are changing obstetric and maternity care. An increasing …

Abstract The National COVID-19 Chest Imaging Database (NCCID) is a centralized UK
database of thoracic imaging and corresponding clinical data. It is made available by the …

The electronic health record (EHR) represents a rich source of patient information,
increasingly being leveraged for cardiovascular research. Although its primary use remains …

Abstract Background and Aims Reports of outcomes after atrial fibrillation (AF) diagnosis are
conflicting. The aim of this study was to investigate mortality and hospitalization rates …

A wealth of data is available from electronic health records (EHR) that are collected as part
of routine clinical care in hospitals worldwide. These rich, longitudinal data offer an attractive …