Artificial Intelligence (AI) is currently being introduced into different domains, including
medicine. Specifically in radiation oncology, machine learning models allow automation and …

Artificial Intelligence (AI) algorithms are increasingly providing decision making and
operational support across multiple domains. AI includes a wide (and growing) library of …

Recent years have witnessed tremendous growth in the application of machine learning
(ML) and deep learning (DL) techniques in medical physics. Embracing the current big data …

Radiotherapy is a discipline closely integrated with computer science. Artificial intelligence
(AI) has developed rapidly over the past few years. With the explosive growth of medical big …

The rapidly evolving scenario of Artificial intelligence (AI) in medicine comes with new
regulatory challenges, including certification, ownership, and control of data sharing, privacy …

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 …

The use of machine learning and other sophisticated models to aid in prediction and
decision making has become widely popular across a breadth of disciplines. Within the …

Purpose Intensity‐modulated radiation therapy (IMRT) quality assurance (QA)
measurements are routinely performed prior to treatment delivery to verify dose calculation …

Radiation therapy is a complex process involving multiple professionals and steps from
simulation to treatment planning to delivery, and these procedures are prone to error …

Artificial intelligence (AI) is a branch of computer science dedicated to giving machines or
computers the ability to perform human-like cognitive functions, such as learning, problem …