Enabling Accessible Health and Wellness via AI Humanity, by Dr. Chris Lee

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Enabling Accessible Health and Wellness via AI Humanity, by Dr. Chris Lee


Abstract:

This tutorial will focus on innovative digital health ecosystem and analytics system which fosters extension of telemedicine through the transfer of comprehensive medical expertise and experiences via Artificial Intelligence (AI) from tertiary medical centers to remote care facilities in making healthcare more accessible! Cancer is among the most important issues of healthcare worldwide. However, under current medical systems, diagnosis of these severe diseases is commonly delayed, especially in remote locations with limited medical resources. Hence it is necessary to facilitate early screening at these distant care units using Computer-Aided-Diagnostic (CAD) tools possessing tertiary centers’ experiences accumulated through AI. In attempts to reform and advance the digital health environment, using skin care as example, this tutorial introduces an ecosystem, by which integration of remote care facilities is substantiated, through utilization of high accuracy and efficiency of AI as extension of telemedicine! Being an exemplary, this AI medical networking model is readily extensible to global medical and biotech communities! This tutorial will also introduce the speaker’s reconfigurable edge system for the detection of Skin Cancer on mobile devices with more than 95% accuracy.



  Date and Time

  Location

  Hosts

  Registration



  • Date: 19 May 2021
  • Time: 08:00 PM to 09:30 PM
  • All times are Mexico/General
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  • Guadalajara, Jalisco
  • Mexico

  • Starts 26 April 2021 11:40 AM
  • Ends 19 May 2021 11:40 PM
  • All times are Mexico/General
  • No Admission Charge


  Speakers

Dr. Chris Lee

Dr. Chris Lee of National Cheng Kung University (NCKU)

Topic:

Enabling Health and Wellness via Humanity by Dr. Chris Lee

Abstract:

This tutorial will focus on innovative digital health ecosystem and analytics system which fosters extension of telemedicine through the transfer of comprehensive medical expertise and experiences via Artificial Intelligence (AI) from tertiary medical centers to remote care facilities in making healthcare more accessible! Cancer is among the most important issues of healthcare worldwide. However, under current medical systems, diagnosis of these severe diseases is commonly delayed, especially in remote locations with limited medical resources. Hence it is necessary to facilitate early screening at these distant care units using Computer-Aided-Diagnostic (CAD) tools possessing tertiary centers’ experiences accumulated through AI. In attempts to reform and advance the digital health environment, using skin care as example, this tutorial introduces an ecosystem, by which integration of remote care facilities is substantiated, through utilization of high accuracy and efficiency of AI as extension of telemedicine! Being an exemplary, this AI medical networking model is readily extensible to global medical and biotech communities! This tutorial will also introduce the speaker’s reconfigurable edge system for the detection of Skin Cancer on mobile devices with more than 95% accuracy.

Biography:

Dr. Chris Gwo Giun Lee is an investigator in signal processing systems for multimedia and bioinformatics. His work on analytics of algorithm concurrently with architecture, Algorithm/Architecture Co-Design (AAC), has made possible accurate and efficient computations on SoC, cloud and edge including Digital Health. He is currently using AI to Design AI and is also enabling accessible health and wellness via AI Humanity.

His work have contributed to 130+ original research and technical publications with invention of 50+ patents worldwide.  His AAC work resulted in industry deployment of 60+ million LCD panels worldwide.  Two patents were licensed by US health industry for development of analytics platform based precision medicine products (Boston, MA, June 1, 2015, GLOBE NEWSWIRE).  This AAC work has been pivotal in delivering international standards, e.g. Reconfigurable Video Coding 3D extension of HEVC in MPEG.   

Dr. Chris was a system architect in Philips Semiconductor and also project leader in the Silicon Valley.  He was recruited to NCKU in 2003. He received his BSEE from National Taiwan University, MSEE and PH.DEE from the University of Massachusetts. Chris serves as the AE for and JSPS. He was formerly the AE for IEEE TSP IEEE and TCSVT for which he received the Best Associate Editor’s Award in 2011. He has served as the Distinguished Lecturer for IEEE CASS from 2019 ~ 2021. He was the Chair for IEEE Region 10, Industry Relations Committee, 2019 ~ 2020.

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