| Sumario: | Participants: Seung Wan Kang (Korea), Donghyun. Kim(Korea), Solomon Han (Korea). ISSUE Dementia is a neurodegenerative brain disease that one-tenth of the elderly suffers from as a representative geriatric disease. With the increase of the elderly population and the improvement of the quality of elderly life being re-examined, the development of technologies for preventing, diagnosing, and treating dementia is becoming significantly important. Recently, digital technologies such as artificial intelligence are being actively applied to the medical field, and methods applicable to improving the quality of life of the elderly are being studied in various fields. This session will introduce the application of digital technology as gerontechnology and digital technologies that are actively researched in dementia prevention, diagnosis, and treatment. CONTENT The current symposium is designed to shed light on some of these different facets. We will examine 1.) PET-validated EEG-Machine Learning Algorithm Predicts Brain Amyloid Pathology in Pre-dementia Alzheimer's Disease, 2.) Development for diagnosis and prognosis of dementia: Advancing amyloid (A)-Tau (T)-neuronal degeneration (N)-vascular (V) neuropathology system using brain imaging, and 3.) Development of non-face-to-face dementia prevention management program based on artificial intelligence. STRUCTURE Kang first presents the AI-based EEG brain scanning with the accurate classification of beta-amyloid accumulation in the brain and high accessibility. Secondly, Kim presents development for diagnosis and prognosis by multi-facets of brain imaging data. Lastly, Han presents the development of a dementia prevention management program based on AI. CONCLUSION The different talks show the multiple facets that need to be considered in research on dementia using digital technologies. They suggest using AI in the diagnosis and prognosis of dementia is an innovative development by adjusting novel technologies. They also highlight that remote care will be essential for the elderly population. Still, there are restrictions for fully remote diagnosis and therapeutics; if the technology presented at this session advances, it is expected that telemedicine and treatment will be possible shortly.
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