On the Occasion of the launch of the College of Healthcare Management & Economics, we are hosting a series of Master classes by global experts on topics of interest to the healthcare community
Venue: Hyatt Regency Dubai Creek Heights – 20th Street, Dubai Healthcare City – Dubai
Date: Sunday 14th April 2019 at 1:30 pm | RSVP: REGISTER ON THIS PAGE
In this Masterclass, we will explore the present and future of the applications of Artificial Intelligence (AI) and Robotics in Healthcare, introducing real-world examples, challenges and opportunities, as well as a view of the future of this rapidly changing field.
How will medical practice be affected by developments in Robotics and Artificial Intelligence? What are directly applicable solutions expected in the coming years? How will prediction, early diagnosis, and treatment change? How can assistive technologies dramatically enhance lives?
The predecessors of Robots, called Automata, have existed since Ancient Egypt but the first modern industrial robot was created in the 1960’s. Today use of robots has expanded beyond manufacturing, and Medical Robots, such as the Da Vinci surgical robot are widely used. The last ten years have witnessed research and working prototypes addressing a much wider scale of applications: from nurse robots, to disinfecting robots, to endoscopic devices, all the way to snakes and nanobots that are able to enter the human body and perform precision operations. Robots related to well-being have come into use: assistive devices for people of determination; exoskeletons; robots for the elderly; all the way to robots that enable autistic children enhance their communication with humans, and beyond.
Artificial Intelligence also has old roots, arguably back to Aristotle, but the modern field of AI started after the second world war. Recently it has grown exponentially with the latest developments in Deep Learning, and the growing availability of data. AI was applied to the medical field from the early days through expert systems targeting diagnosis. But advanced machine-learning based tools are a recent development and include applications such as automated radiological diagnosis systems, predictive tools using genomic informatics, as well as digital biomarkers. These are dramatically impacting the landscape of the field, which will continue to change rapidly due to the combined effects of the “fourth industrial revolution”.
Prof. Nikolaos Mavridis
PhD. Massachusetts Institute of Technology (MIT), Academic & Consultant
Nikolaos Mavridis, PhD from the Massachusetts Institute of Technology (MIT), is an Academic and Consultant specializing in Robotics and Artificial Intelligence. Founder and director of the Interactive Robots and Media Lab (IRML), he has served as faculty at numerous institutions, including New York University (NYU) AD and Poly, and the Greek National Center for Scientific Research Demokritos, among others. Before his PhD, he was awarded an M.Sc. from UCLA, and a M.Eng. from the Aristotle University, all with Suma Cum Laude.
His work received significant media attention, such as coverage of IRML projects from media of 22 countries, including the BBC. He is the author of 85 peer-reviewed academic publications, and has served as member of the EU Cognitive Systems group, vice-chair of the Hellenic Artificial Intelligence Society, bid preparer that brought the World Robot Olympiad to Abu Dhabi, founder of the IEEE UAE Robotics & Automation Society. Nikolaos has also completed PD courses from the MIT Sloan Business School, and courses in International Relations from LSE. Furthermore, he is a board member for various companies and organizations, and has been a TEDx Speaker four times, including Athens and Geneva, as well as a Singularity University speaker, and has served as Judge for the Dubai Prime Minister’s Office “Drones for Good” and “Robotics and AI for Good” international competitions. He is a mentor for the MIT Enterprise Forum, and a member of the MIT Educational Council.
