This commentary explores how explainable AI could support patient education in dementia care. It distinguishes technical explainability from patient understanding and examines challenges involving data quality, misleading explanations, cognitive differences, and decision-making capacity. It emphasizes personalized communication and collaboration among patients, caregivers, and clinicians.