2018/8/7 (二) 醫療照護產業的數位轉型: 如何以人工智慧來進行

醫療照護產業的數位轉型: 如何以人工智慧來進行

Abstract:

In recent years, there have been growing interests on using artificial intelligence approaches such as computer vision and natural language processing in the healthcare domain. To understand how artificial intelligence can help, it is important to understand the current capability and limitation of artificial intelligence. In this talk, I will present health related projects in Microsoft Research. The work ranges from medical image analysis using weakly supervised machine learning techniques to natural language processing to help better understand intent of questions related to medicine. I will end the presentation by looking at opportunities for the application of these technologies in real world settings.

Bio: Eric Chang is the Senior Director of Technology Strategy at Microsoft Research Asia, where he works on IP portfolio management, starting research themes, and guiding technologies to real world impact. Previously, Eric co-founded Microsoft Advanced Technology Center (ATC) in 2003 where he led teams to develop Office, Windows, and other Microsoft products and started a multidisciplinary incubation team.

Prior to joining Microsoft Research, Eric was one of the founding members of the Research group at Nuance Communications, a pioneer in natural speech interface. While at Nuance, Eric led the development of the world’s first deployed Japanese natural language speech recognition system.

Eric graduated from M.I.T. with Ph.D., Master and Bachelor degrees, all in the field of electrical engineering and computer science. Eric has published in the fields of eHealth, speech processing, and machine learning. He is also the inventor of over 15 granted and pending patents.

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