XAI for Medicine September-December 2021

                                          Introduction  In recent years, there has been a significant increase in the use of machine learning models and artificial intelligence (AI) in the field of medicine. However, as these models become more complex and are integrated into critical decision-making processes, there is a growing need for explainable AI (XAI). In this blog post, we will explore the importance of XAI in medicine and how it can help ensure the safety, reliability, and ethical use of AI in healthcare. 1. Deep learning for epileptogenic zone delineation from the invasive EEG: challenges and lookouts The scientific commentary discusses the challenges of using deep learning (DL) approaches for delineation of the epileptogenic zone (EZ) from invasive EEG* (iEEG). The article refers to a recent study that used DL to classify dichotomously whether a h...