With an increase in deep learning-based methods, the call for explainability of such methods
grows, especially in high-stakes decision making areas such as medical image analysis …

Ultrasound is the most commonly used imaging modality in clinical practice because it is a
nonionizing, low-cost, and portable point-of-care imaging tool that provides real-time …

Artificial intelligence (AI) has seen dramatic growth over the past decade, evolving from a
niche super specialty computer application into a powerful tool which has revolutionized …

Artificial intelligence (AI) has illuminated a clear path towards an evolving health-care
system replete with enhanced precision and computing capabilities. Medical imaging …

Advances in computing hardware and software platforms have led to the recent resurgence
in artificial intelligence (AI) touching almost every aspect of our daily lives by its capability for …

With recent breakthroughs in artificial intelligence, computer‐aided diagnosis (CAD) for
upper gastrointestinal endoscopy is gaining increasing attention. Main research focuses in …

Deep-learning algorithms typically fall within the domain of supervised artificial intelligence
and are designed to “learn” from annotated data. Deep-learning models require large …

Echocardiography (Echo), a widely available, noninvasive, and portable bedside imaging
tool, is the most frequently used imaging modality in assessing cardiac anatomy and …

Rational Deep learning (DL) has demonstrated a remarkable performance in diagnostic
imaging for various diseases and modalities and therefore has a high potential to be used …

Purpose Diagnosis of lymph node metastasis (LNM) is critical for patients with pancreatic
ductal adenocarcinoma (PDAC). We aimed to build deep learning radiomics (DLR) models …