FairAD-XAI: Evaluation Framework for Explainable AI Methods in Alzheimer's Disease Detection with Fairness-in-the-loop

Linh Le

Abstract: Alzheimer's Disease (AD) is a degenerative brain condition that progressively leads to dementia, mainly impacting people over the age of 65 \cite{yao2023artificial}. AD detection can be challenging due to its complex signs. However, the advancements in Clinical Decision Support Systems (CDSS) using Artificial Intelligence (AI) (AI-based CDSS) pave a promising path for both healthcare professionals and individuals to early detect and slow down the progression properly, improving Quality of Life (QoL). There are many modalities to detect or screen AD using AI \cite{winchester2023artificial, blennow2018biomarkers}, such as Magnetic resonance imaging (MRI), Cerebrospinal Fluid (CSF), and Positron Emission Tomography (PET). However, the techniques above are limited to the masses due to their high cost.