Machine Learning in Medicine: To Explain, or Not to Explain, That Is the Question
Cédric Bousquet, Divà Beltramin · Studies in health technology and informatics · 2022
In 2022, the Medical Informatics Europe conference created a special topic called "Challenges of trustable AI and added-value on health" which was centered around the theme of eXplainable Artificial Intelligence. Unfortunately, two opposite views remain for biomedical applications of machine learning: accepting to use reliable but opaque models, vs. enforce models to be explainable. In this contribution we discuss these two opposite approaches and illustrate with examples the differences between them.