Keynote 3 Personal Health Coaching Framework Using Digital Twin and On-Device AI

Abstract

When a person comes down with a disease, it is important to get proper treatment at the right time to get it cured but due to various reasons, it may not be always possible. What is more important is to try not to be in such a situation by monitoring their own health and take necessary actions in a timely manner when any abnormal conditions occur. Clinical institutions such as hospitals are the places to get treatments but when it comes to maintaining personal health, they may not be the right place to be as health monitoring requires constant assessment and guidelines that may differ by person. With the advancement of health information technology, such personalized and constant guidance that can ensure health information privacy, security, and sharing may be feasible. In this talk, we propose a novel approach in personal health monitoring framework using digital twin and on-device AI. Digital twin is used to monitor, assess, and predict user’s personal health by using user’s most up-to-date and longitudinal health condition through clinical sensors and observed symptoms. On-Device AI is used to provide secure personalized health coaching capabilities as it does not consult external AI such as ChatGPT.

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