In this article we review the history of key epidemiological studies of populations exposed to
ionizing radiation. We highlight historical and recent findings regarding radiation-associated …

Background Lung cancer remains a critical public health issue, presenting multifaceted
challenges in prevention, diagnosis, and treatment. This article aims to review the current …

Purpose. This study aims to predict radiotherapy-induced rectal and bladder toxicity using
computed tomography (CT) and magnetic resonance imaging (MRI) radiomics features in …

Parkinson disease (PD) is a prevalent neurodegenerative disorder, and its accurate
diagnosis is crucial for timely intervention. We propose the PArkinson disease Denoising …

Radiomics is a crucial discipline for personalized medicine, specifically by enhancing
diagnostic accuracy and treatment decisions. However, the reliability of radiomics features …

This review presents and discusses the ways in which artificial intelligence (AI) tools
currently intervene, or could potentially intervene in the future, to enhance the diverse tasks …

This chapter explores the transformative intersection of quantum computing and healthcare,
particularly in the realm of personalized medicine. The amalgamation of quantum computing …

The ability to visualise cancer with imaging has been crucial to the evolution of modern
radiotherapy (RT) planning and delivery. And as evolving RT technologies deliver …

Purpose This study aimed to evaluate the prognostic significance of magnetic resonance
imaging (MRI) parameters on biochemical failure-free survival (BFS) in patients diagnosed …

Objectives To apply CT-based foundational artificial intelligence (AI) and radiomics models
for predicting overall survival (OS) for patients with locally advanced non-small cell lung …