Explainable Artificial Intelligence For Trustworthy Machine Learning And Deep Learning Models In Healthcare

This Special Issue focuses on explainable and interpretable machine learning (ML) and deep learning (DL) techniques for various healthcare applications. The objective is to explore the recent advances and techniques in the explainable artificial intelligence (XAI) area. Submitted manuscripts should not have been published previously and will be peer-reviewed. Research topics of interest include, but are not limited to, ML and DL models, clinical utilization, trust of clinicians and patients, and XAI techniques.