Artificial intelligence (AI) has the potential to fundamentally alter the way medicine is
practised. AI platforms excel in recognizing complex patterns in medical data and provide a …

Radiation therapy (RT) plays a key role in curative-intent treatments for head and neck
cancers. Its use is indicated as a sole therapy in early stage tumors or in combination with …

Machine learning approaches to problem-solving are growing rapidly within healthcare, and
radiation oncology is no exception. With the burgeoning interest in machine learning comes …

Adaptive radiotherapy emerged over 20 years ago and is now an established clinical
practice in a number of organ sites. No one solution for adaptive therapy exists. Rather …

Purpose To perform a systematic review on the research on the application of artificial
intelligence (AI) to imaging published in Italy and identify its fields of application, methods …

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 rapid development of artificial intelligence (AI) technologies in the context of the vast
amount of collectable data obtained from high-throughput sequencing has led to an …

Introduction: An increasing number of parameters can be considered when making
decisions in oncology. Tumor characteristics can also be extracted from imaging through the …

Machine learning (ML) has the potential to revolutionize the field of radiation oncology, but
there is much work to be done. In this article, we approach the radiotherapy process from a …

With the era of big data, the utilization of machine learning algorithms in radiation oncology
is rapidly growing with applications including: treatment response modeling, treatment …