A collaboration between IEEE CS DUTh SBC and IEEE EMBS AUTh is bringing you the webinar with the title “AI in Medicine”, which will be held on Thursday, 17th of December 2020 at 18:30 on Google Meet. The speaker of this webinar will be Dr. Leontios J. Hadjileontiadis, Professor in the Aristotle University of Thessaloniki and Senior Member of IEEE.

Machine Learning (ML) is a branch of Artificial Intelligence (AI) based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. While many ML algorithms have been around for a long time, the ability to automatically apply complex mathematical calculations to big data – over and over, faster and faster, deeper and deeper – is a recent development, leading to the realization of the so-called Deep Learning (DL). The latter has an intuitive capability that is similar to biological brains. It is able to handle the inherent unpredictability and fuzziness of the natural world. In this keynote, the main aspects of ML and DL will be presented and the focus will be placed in the way they are used to shed light upon the Human Behavioral Modeling. In this vein, AI-based approaches will be presented for identifying behavioral changes due to underlined pathologies (e.g., Parkinson’s, Alzheimer’s, Mental disorders, high risk Covid-19). These approaches provide a new and unobtrusive way for gathering and analyzing dense sampled big data, contributing to further understanding disease symptoms at a very early stage, guiding personalized and targeted interventions that sustain the patient’s quality of life, involving new means of re-education in digital health.