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Konstantinos Charilaou is a leading researcher at the intersection of digital health, artificial intelligence, and geriatric care, with a primary focus on dementia and frailty prevention. His most-cited work, "Establishing a Digitally Enabled Healthcare Framework for Enhanced Prevention, Risk Identification, and Relief for Dementia and Frailty" (2025), outlines a transformative AI-driven model that integrates early diagnosis, risk stratification, and continuous monitoring into clinical practice. This framework leverages machine learning to improve diagnostic specificity and sensitivity, enabling earlier interventions that can alter disease trajectories. With 2 citations in its first year, the paper signals growing recognition of its practical impact. Charilaou’s contributions bridge the gap between cutting-edge AI and real-world healthcare delivery, emphasizing scalable, patient-centered solutions. His work is notable for its holistic approach—combining prevention, risk identification, and relief—to address the global burden of cognitive decline. For students and researchers, Charilaou exemplifies how digital innovation can reshape aging care, making his profile essential for those exploring AI’s role in public health and gerontology.