MSxplain
On going project

Multiple Sclerosis (MS) is a widespread, debilitating condition, impacting over 2 million individuals globally and representing the most common neurological disorder in young adults. The progression of MS significantly deteriorates the quality of life of those affected and imposes considerable financial strains on patients, their families, and society.

While deep learning (DL) methods have recently advanced in monitoring MS patients, integrating these techniques into clinical neuro-radiology workflows remains challenging, impeding their broad validation. A key obstacle is the perceived opacity of these tools by physicians, who are the primary users. EPFL+ECAL Lab is dedicated to comprehending and addressing the hurdles in adopting Explainable Artificial Intelligence (XAI), with a particular focus on how its presentation impacts understanding and trust within the healthcare industry.