Medical image analysis plays a crucial role in healthcare systems of Internet of Medical
Things (IoMT), aiding in the diagnosis, treatment planning, and monitoring of various …

Nowadays, artificial intelligence (AI) has been utilized in several domains of the healthcare
sector. Despite its effectiveness in healthcare settings, its massive adoption remains limited …

In the field of medical imaging, the increasing demand for advanced computer-aided
diagnosis systems is crucial in radiography. Accurate identification of various diseases, such …

Providing interpretability of deep-learning models to non-experts, while fundamental for a
responsible real-world usage, is challenging. Attribution maps from xAI techniques, such as …

Federated learning (FL) enables collaborative training of machine learning models across
distributed medical data sources without compromising privacy. However, applying FL to …

ABSTRACT The Internet of Medical Things (IoMT) has revolutionized healthcare, particularly
in ambient assisted living (AAL). Deep learning has emerged as a powerful tool for …

Along with the increase in the accuracy of artificial intelligence systems, complexity has also
risen. Despite high accuracy, high-risk decision-making requires explanations about the …

Recent progress in artificial intelligence has brought about a revolutionary era spanning
various sectors such as transportation, healthcare, finance, and cybersecurity. In the field of …

The challenge of explaining the results generated by artificial intelligence (AI) is a significant
obstacle to their widespread acceptance, which is why increased attention has been paid to …

Deep learning has revolutionized medical image analysis, leading to advancements in
diagnosis and treatment. This article examines the application of deep learning techniques …