Artificial Intelligence (AI) solutions have been widely used in healthcare, and recent
developments in deep neural networks have contributed to significant advances in medical …

Deep learning with convolutional neural networks (CNN) is a rapidly advancing subset of
artificial intelligence that is ideally suited to solving image-based problems. There are an …

Objective The aim of this study was to investigate whether a deep learning object detection
technique can automatically detect and classify radiolucent lesions in the mandible on …

Deep learning is a subfield of state-of-the-art artificial intelligence (AI) technology, and
multiple deep learning-based AI models have been applied to musculoskeletal diseases …

Objective This study aimed to evaluate a deep learning (DL) system using convolutional
neural networks (CNNs) for automatic detection of caries on bitewing radiographs. Study …

Pediatric endocrinologists regularly order radiographs of the left hand to estimate the degree
of bone maturation in order to assess their patients for advanced or delayed growth, physical …

Recent years have seen a surge of studies in machine learning in health and biomedicine,
driven by digitalization of healthcare environments and increasingly accessible computer …

Innovations in Deep learning (DL) are tremendous in the recent years and applications of
DL techniques are ever expanding and encompassing a wide range of services across …

Background and objective Emergency physicians (EPs) frequently deal with abdominal
pain, including that is caused by either gallstones or acute cholecystitis. Easy access and …

The interest of researchers, clinicians and radiologists, in artificial intelligence (AI) continues
to grow. Deep learning is a subset of machine learning, in which the computer algorithm …