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

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 …

In recent years personalized medicine reached an increasing importance, especially in the
design of oncological therapies. In particular, the development of patients' profiling …

Targeted radiation therapy (TRT) is a strategy increasingly adopted for the treatment of
different types of cancer. The urge for optimization, as stated by the European Council …

Data-driven model with predictive ability are important to be used in medical and healthcare.
However, the most challenging task in predictive modeling is to construct a prediction model …

Abstract Machine learning techniques, also known as artificial intelligence (AI), is about to
dramatically change workflow and diagnostic capabilities in diagnostic radiology. The …

This topical review focuses on the applications of artificial intelligence (AI) tools to
stereotactic body radiation therapy (SBRT). The high dose per fraction and the limited …

Advances in artificial intelligence in healthcare are frequently promoted as 'solutions' to
improve the accuracy, safety, and quality of clinical decisions, treatments, and care. Despite …

Aim: The aim of this study was to develop robust prognostic models for mortality prediction of
COVID-19 patients, applicable to different sets of real scenarios, using radiomic and neural …

Background There have been several proposals by researchers for the introduction of
Artificial Intelligence (AI) technology due to its promising role in radiotherapy practice …