Asus Intelligent Cloud Services (AICS), Singapore
National University of Singapore (NUS), Singapore
Machine learning has shown tremendous promise across a broad range of domains. The healthcare environment is becoming increasingly ready to embrace these solutions, which have the potential to lower healthcare costs, identify more effective treatments, and facilitate prevention and early detection of diseases. However, the development of machine learning solutions for healthcare requires paying close attention to the ecosystem as well as the clinical workflow.
In this talk, I will share recent advances in machine learning, computer vision, and natural language processing that are driving innovation in medicine, including some example solutions. Finally, I will discuss challenges and future directions for machine learning in healthcare.
Stefan Winkler is Research Director of Asus Intelligent Cloud Services (AICS) as well as Adjunct Associate Professor at the National University of Singapore (NUS). Prior to that he was Deputy Director at AI Singapore. He also co-founded two start-ups (Genista and Opsis) and worked for a Silicon Valley company.
Dr. Winkler has a Ph.D. degree from the Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland, and a Dipl.-Ing. (M.Eng./B.Eng.) degree from the University of Technology Vienna, Austria. He is an IEEE Fellow and has published over 150 papers. He has also contributed to international standards in VQEG, ITU, ATIS, VSF, and SCTE. His research interests include video processing, computer vision, machine learning, perception, and human-computer interaction.