AI is everywhere, and has the potential to disrupt also healthcare. However, particular challenges related to healthcare applications need to be addressed. Those are exciting times being at the intersection of AI and healthcare. The impact of AI in healthcare will only grow, and we are here at the right time to also unlock the potential of AI in medicalendeavors. Wewillillustratesomeofoursolutions for deep learning based epilepsy and sleep detection, and explore causal AI solutions for personalising treatment recommendations.
Speaker: Maarten De Vos, Departments of Engineering and Medicine, KU Leuven, Belgium
Time: 10:00 – 10:40, Thursday, May 16, 2024
Venue: Room 212 E3, 144 Xuan Thuy, Cau Giay, Hanoi
Maarten De Vos , currently full Professor in the Departments of Engineering and Medicine at KU Leuven after being Associate Professor at the University of Oxford (UK) and Junior Professor at the University of Oldenburg (Germany). Since the start of his career, he focused on improving data science approaches for various healthcare applications. Currently, his Artificial Intelligence (AI) solutions are used in various hospital departments, ranging from neonatology to elderly care. His pioneering research has won several innovation prices, among which the prestigious Mobile Brain Body monitoring prize (2017), the Martin Black Prize for the best paper in Physiological Measurements (2019) and in the IEEE EMBS Benelux award for best paper in the biomedical field (2021). He has a strong interest in translational research, and advise many healthcare spin-off companies (e.g. Circadian Therapeutics, Albus Health, ArtiQ) on how to embed AI solutions in their product portfolio. He is also currently associate editor for Frontiers in Artificial Intelligence and IEEE Journal of Biomedical Health Informatics and on the editorial board of Journal of neural engineering, and Nature Digital Health..
This technical meeting is jointly organized with the Institute for Artificial Intelligence