Editorial Topical Collection: "Explainable and Augmented Machine Learning for Biosignals and Biomedical Images".

This document is an editorial introducing a topical collection on "Explainable and Augmented Machine Learning for Biosignals and Biomedical Images." It discusses the challenges of machine learning (ML) algorithms in the biomedical field due to their lack of transparency and the emergence of explainable artificial intelligence (xAI) techniques to address this issue. The collection includes ten papers that explore the latest advancements in xAI applied to various medical applications, such as brain function analysis, cancer biomarker identification, stress detection, emotion classification, and disease diagnosis. The papers present innovative computational methods that have the potential to be deployed in clinical contexts. [Extracted from the article]