The study introduces an integrated framework combining Convolutional Neural Networks
(CNNs) and Explainable Artificial Intelligence (XAI) for the enhanced diagnosis of breast …

Breast cancer (BC) stands as one of the most common malignancies affecting women
worldwide, necessitating advancements in diagnostic methodologies for better clinical …

This study explores the possibility of facilitating algorithmic decision-making by combining
interpretable artificial intelligence (XAI) techniques with sensor data, with the aim of …

Infectious diseases continue to pose a major threat to global public health and require early
detection and effective response strategies. Despite advances in information technology and …

Artificial intelligence (AI) has emerged as a transformative technology with immense
potential to revolutionize industries and societies. However, along with its promises come …

The increased utilization of disruptive health and biomedical informatics technologies, such
as artificial intelligence (AI), has accelerated medical operations from patient-centered …

With the evolution of biometric technology, this research embarks on a multidimensional
exploration, encompassing design innovation, ethical scrutiny, and the application of …

Las tecnologías basadas en Inteligencia Artificial (IA) han experimentado en los últimos
años un crecimiento significativo en el ámbito de la sanidad, con la promesa de mejorar …