A decade of unprecedented progress in artificial intelligence (AI) has demonstrated the
potential for many fields—including medicine—to benefit from the insights that AI techniques …

The advancement of precision medicine in medical care has led behind the conventional
symptom-driven treatment process by allowing early risk prediction of disease through …

Today, intelligent systems that offer artificial intelligence capabilities often rely on machine
learning. Machine learning describes the capacity of systems to learn from problem-specific …

Accurate assessment of cardiac function is crucial for the diagnosis of cardiovascular
disease, screening for cardiotoxicity and decisions regarding the clinical management of …

Congenital heart disease (CHD) is the most common birth defect. Fetal screening ultrasound
provides five views of the heart that together can detect 90% of complex CHD, but in …

The role of physicians has always been to synthesize the data available to them to identify
diagnostic patterns that guide treatment and follow response. Today, increasingly …

Importance Artificial intelligence (AI) has been applied to analysis of medical imaging in
recent years, but AI to guide the acquisition of ultrasonography images is a novel area of …

We propose a novel attention gate (AG) model for medical image analysis that automatically
learns to focus on target structures of varying shapes and sizes. Models trained with AGs …

The use of artificial intelligence, and the deep-learning subtype in particular, has been
enabled by the use of labeled big data, along with markedly enhanced computing power …

Background: Automated cardiac image interpretation has the potential to transform clinical
practice in multiple ways, including enabling serial assessment of cardiac function by …