Abstract
The use of Artificial Intelligence (AI), such as Convolutional Neural Networks (CNNs), has demonstrated efficiency and high assertiveness for medical applications. Despite this success, there are significant challenges to be overcome, related to the availability of "real-world data" and CNN architectures, which face challenges in terms of reliability and explainability, given that the use…