The idea of using artificial intelligence (AI) in medical practice has gained vast interest due
to its potential to revolutionise healthcare systems. However, only some AI algorithms are …

In prostate cancer (PCa), the use of new radiopharmaceuticals has improved the accuracy of
diagnosis and staging, refined surveillance strategies, and introduced specific and …

Background Artificial intelligence-powered interventions have emerged as promising tools to
support autistic individuals. However, more research must examine how teachers and …

Technological advancements in computer science have started to bring artificial intelligence
(AI) from the bench closer to the bedside. While there is still lots to do and improve, AI …

Predictive models based on radiomics and machine-learning (ML) need large and
annotated datasets for training, often difficult to collect. We designed an operative pipeline …

Introduction Diabetes, a major cause of premature mortality and complications, affects
millions globally, with its prevalence increasing due to lifestyle factors and aging …

Breast cancer disease is a major public health problem among women worldwide. This
article proposes an expert system for the diagnosis of breast cancer disease based on an …

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

Background: Open Access Editor's Choice Article Breast Histopathological Image
Classification Method Based on Autoencoder and Siamese Framework by Min Liu, Yu He …

This study investigates, through a narrative review, the transformative impact of deep
learning (DL) in the field of radiotherapy, particularly in light of the accelerated …