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DESCRIPTION:IEEE Maine Communications/Computer Societes Joint Chapter invit
 es you to attend a live webinar\n\nExplainable Al: Hope and Hypes in Healt
 hcare\nThursday\, April 7\, 2022\n12:00 - 1:00 p.m. EST (live via Zoom)\n\
 nThe webinar is co-hosted by UMaine AI\, moderated by Dr. Julia Upton\, IE
 EE Maine Section Chair\, and features three presentations (followed by Q&amp;A
 ):\n\nThe Need for Explainable Al in Healthcare by Dr. Hongfang Liu (Mayo 
 Clinic)\n\nDr. Hongfang Liu is a professor of Biomedical Informatics at th
 e Center for Clinical and Translational Sciences at the Mayo Clinic. Dr.Li
 u&#39;s primary research focus is to facilitate the secondary use of clinical 
 data for clinical and translational science research and health care deliv
 ery improvement using data science\, artificial intelligence\, and informa
 tics approaches. Her research has been extensively funded by the National 
 Science Foundation and the National Institutes of Health (NIH) since 2003.
  She is a Fellow of the American College of Medical Informatics and Deputy
  Editor of Health Data Science Journal.\n\nMaking Al Models Interpretable 
 and Explainable for Medical Image Analysis by Dr. Ahmad P. Tafti (Universi
 ty of Southern Maine)\n\nDr. Tafti is an Assistant Professor of Computer S
 cience at the University of Southern Maine\, where he is leading the USM H
 exAI Research Laboratory. Dr. Tafti received his PhD in computer science w
 ith an emphasis on artificial intelligence and 3D computer vision. He is p
 assionate about Al and its applications in healthcare. Dr. Tafti is the 20
 21 SiiM Imaging Informatics Innovator awardee\, Mayo Clinic Transform the 
 Practice awardee\, an NVIDIA GU awardee\, and GE Healthcare Honorable Ment
 ion awardee. To date\, he has authored 45+ peer-reviewed publications. Dr.
  Tafti has organized numerous workshops and tutorials on intelligent healt
 h systems and has served on the program committee of 15+ conferences\, sym
 posiums\, and journals in Al and Digital Health Sciences.\n\nExplainable A
 l in Clinical Natural Language Processing by Dr. Yanshan Wang (University 
 of Pittsburg)\n\nDr. Wang is vice chair of research and assistant professo
 r with a primary appointment in the Department of Health Information Manag
 ement\, School of Health and Rehabilitation Sciences\, and secondary appoi
 ntments in the Intelligent Systems Program\, School of Computing and Infor
 mation\, and the Department of Biomedical Informatics\, School of Medicine
 \, at the University of Pittsburgh. His research interests focus on artifi
 cial intelligence (AI)\, natural language processing (NLP) and machine lea
 rning methodologies and applications in health care. His research goal is 
 to leverage different dimensions of data and data-driven computational app
 roaches to meet the needs of clinicians\, researchers\, patients and custo
 mers. He joined Pitt in June 2021 from the Mayo Clinic where he still hold
 s an adjunct Assistant Professor position.\n\nCo-sponsored by: UMaine\n\nV
 irtual: https://events.vtools.ieee.org/m/307577
LOCATION:Virtual: https://events.vtools.ieee.org/m/307577
ORGANIZER:uptonj@husson.edu
SEQUENCE:29
SUMMARY:Explainable AI: Hope and Hypes in Healthcare Webinar
URL;VALUE=URI:https://events.vtools.ieee.org/m/307577
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;span style=&quot;font-size: 12pt\; color: #236
 fa1\;&quot;&gt;&lt;strong&gt;IEEE Maine Communications/Computer Societes Joint Chapter&lt;/
 strong&gt;&lt;/span&gt;&amp;nbsp\;invites you to attend a live webinar&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;
 /p&gt;\n&lt;p&gt;&lt;span style=&quot;color: #843fa1\; font-size: 18pt\;&quot;&gt;&lt;strong&gt;Explainab
 le Al: Hope and Hypes in&amp;nbsp\;Healthcare&lt;/strong&gt;&lt;/span&gt;&lt;br /&gt;&lt;strong&gt;Thu
 rsday\, April 7\, 2022&lt;/strong&gt;&lt;br /&gt;&lt;strong&gt;12:00 - 1:00 p.m. EST (live v
 ia Zoom)&lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;The webinar is co-hosted by &lt;str
 ong&gt;UMaine AI&lt;/strong&gt;\, moderated by&lt;span style=&quot;color: #34495e\;&quot;&gt; &lt;stro
 ng&gt;Dr. Julia Upton&lt;/strong&gt;&lt;/span&gt;\, IEEE Maine Section Chair\, and featur
 es three presentations (followed by Q&amp;amp\;A):&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&lt;sp
 an style=&quot;color: #843fa1\;&quot;&gt;&lt;strong&gt;&lt;em&gt;&lt;span style=&quot;font-size: 14pt\;&quot;&gt;Th
 e Need for Explainable Al in Healthcare&lt;/span&gt;&lt;/em&gt;&lt;/strong&gt;&lt;/span&gt;&amp;nbsp\;
  by &lt;span style=&quot;font-size: 14pt\; color: #34495e\;&quot;&gt;&lt;strong&gt;Dr. Hongfang 
 Liu&lt;/strong&gt;&lt;/span&gt; &lt;span style=&quot;font-size: 14pt\;&quot;&gt;(Mayo Clinic)&lt;/span&gt;&lt;/
 p&gt;\n&lt;p&gt;Dr. Hongfang Liu is a professor of Biomedical Informatics at the&amp;nb
 sp\;Center for Clinical and Translational Sciences at the Mayo Clinic. Dr.
 Liu&#39;s primary research focus is to facilitate the secondary use of clinica
 l data for clinical and translational science research and&amp;nbsp\;health ca
 re delivery improvement using data science\, artificial&amp;nbsp\;intelligence
 \, and informatics approaches. Her research has been&amp;nbsp\;extensively fun
 ded by the National Science Foundation and the&amp;nbsp\;National Institutes o
 f Health (NIH) since 2003. She is a Fellow of the&amp;nbsp\;American College o
 f Medical Informatics and Deputy Editor of Health&amp;nbsp\;Data Science Journ
 al.&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&lt;em&gt;&lt;span style=&quot;font-size: 14pt\;&quot;&gt;&lt;strong&gt;&lt;s
 pan style=&quot;color: #169179\;&quot;&gt;&lt;span style=&quot;color: #843fa1\;&quot;&gt;Making Al Mode
 ls Interpretable and Explainable for Medical Image Analysis&lt;/span&gt; &amp;nbsp\;
 &lt;/span&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/em&gt;by &lt;span style=&quot;color: #34495e\;&quot;&gt;&lt;strong&gt;&lt;spa
 n style=&quot;font-size: 14pt\;&quot;&gt;Dr. Ahmad P. Tafti&lt;/span&gt;&lt;/strong&gt; &lt;/span&gt;&lt;spa
 n style=&quot;font-size: 14pt\;&quot;&gt;(University of Southern Maine)&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;
 Dr. Tafti is an Assistant Professor of Computer Science at the&amp;nbsp\;Unive
 rsity of Southern Maine\, where he is leading the USM HexAI&amp;nbsp\;Research
  Laboratory. Dr. Tafti received his PhD in computer&amp;nbsp\;science with an 
 emphasis on artificial intelligence and 3D&amp;nbsp\;computer vision. He is pa
 ssionate about Al and its applications&amp;nbsp\;in healthcare. Dr. Tafti is t
 he &lt;em&gt;2021 SiiM Imaging Informatics&lt;/em&gt;&amp;nbsp\;&lt;em&gt;Innovator&lt;/em&gt; awardee
 \, &lt;em&gt;Mayo Clinic Transform the Practice &lt;/em&gt;awardee\,&amp;nbsp\;an &lt;em&gt;NVID
 IA GU&lt;/em&gt; awardee\, and &lt;em&gt;GE Healthcare Honorable Mention&lt;/em&gt;&amp;nbsp\;aw
 ardee. To date\, he has authored 45+ peer-reviewed&amp;nbsp\;publications. Dr.
  Tafti has organized numerous workshops and&amp;nbsp\;tutorials on intelligent
  health systems and has served on the&amp;nbsp\;program committee of 15+ confe
 rences\, symposiums\, and&amp;nbsp\;journals in Al and Digital Health Sciences
 .&lt;/p&gt;\n&lt;p&gt;&lt;br /&gt;&lt;br /&gt;&lt;span style=&quot;color: #843fa1\; font-size: 14pt\;&quot;&gt;&lt;st
 rong&gt;&lt;em&gt;Explainable Al in Clinical Natural Language Processing&lt;/em&gt;&lt;/stro
 ng&gt;&lt;/span&gt;&amp;nbsp\; by &lt;span style=&quot;color: #34495e\;&quot;&gt;&lt;strong&gt;&lt;span style=&quot;f
 ont-size: 14pt\;&quot;&gt;Dr. Yanshan Wang &lt;/span&gt;&lt;/strong&gt;&lt;/span&gt;&lt;span style=&quot;fon
 t-size: 14pt\;&quot;&gt;(University of Pittsburg)&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;Dr. Wang is vice 
 chair of research and assistant professor with a&amp;nbsp\;primary appointment
  in the Department of Health Information&amp;nbsp\;Management\, School of Heal
 th and Rehabilitation Sciences\, and&amp;nbsp\;secondary appointments in the I
 ntelligent Systems Program\,&amp;nbsp\;School of Computing and Information\, a
 nd the Department of&amp;nbsp\;Biomedical Informatics\, School of Medicine\, a
 t the University of&amp;nbsp\;Pittsburgh. His research interests focus on arti
 ficial intelligence&amp;nbsp\;(AI)\, natural language processing (NLP) and mac
 hine learning&amp;nbsp\;methodologies and applications in health care.&amp;nbsp\;H
 is research goal is to leverage different dimensions of data and data-driv
 en computational&amp;nbsp\;approaches to meet the needs of clinicians\, resear
 chers\, patients and customers. He joined&amp;nbsp\;Pitt in June 2021 from the
  Mayo Clinic where he still holds an adjunct Assistant Professor&amp;nbsp\;pos
 ition.&lt;/p&gt;
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