Detecting Alzheimer's Symptoms with AI and Bridging the Arabic Resource Gap
Adam Emad Bakr · Zenodo (CERN European Organization for Nuclear Research) · 2026
This proposal presents a comprehensive framework for creating the first unified Arabic speech dataset for early Alzheimer’s detection using AI. It addresses the critical research gap of missing Arabic resources, as current datasets focus only on English, Mandarin, and German. The work proposes building a dialect-aware speech pipeline that respects Arabic linguistic and cultural diversity to enable accurate and fair local diagnostic tools.