Artificial intelligence (AI) has been widely used in various medical fields, such as image
diagnosis, pathological classification, selection of treatment schemes, and prognosis …

Breast cancer is the most frequently diagnosed cancer in women, with more than 2.1 million
new diagnoses worldwide every year. Personalised treatment is critical to optimising …

Context: The selection and use of appropriate multi-criteria decision making (MCDM)
methods for solving complex problems is one of the challenging issues faced by decision …

The classic prostate cancer (PCa) diagnostic pathway that is based on prostate-specific
antigen (PSA) levels and the findings of digital rectal examination followed by systematic …

The healthcare sector is very interested in machine learning (ML) and artificial intelligence
(AI). Nevertheless, applying AI applications in scientific contexts is difficult because of the …

Prostate cancer (Pca; adenocarcinoma) is one of the most common cancers in adult males
and one of the leading causes of death in both men and women. The diagnosis of Pca …

Prostate cancer affects one in nine men, so understanding patients' and their partners
experiences is crucial for developing effective treatments. The purpose of this review was to …

Abstract Background Predict Prostate is a freely available online personalised risk
communication tool for men with nonmetastatic prostate cancer. Its accuracy has been …

Introduction Quality of life in prostate cancer survivorship is becoming increasingly
important, with mental and social wellbeing recognised as key components. However …

To overcome obstacles and complexity of decision making in clinical oncology, we propose
an integrated clinical decision support approach; the Digital Twin. We analyse the reasons …