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DESCRIPTION:Who should attend: anyone interested in artificial intelligence
  (AI) in the healthcare industry\, including investors in healthcare compa
 nies\, doctors/radiologists that read patient slides using AI tools\, rese
 archer in machine learning\, and those curious to understand how Machine R
 easoning differs from Machine Learning and why that’s important.\n\nCo-s
 ponsored by: IEEE Region 4 Industry Engagement Committee\n\nSpeaker(s): Dr
 . Khai Pham\, Najib Akram\n\nVirtual: https://events.vtools.ieee.org/m/382
 667
LOCATION:Virtual: https://events.vtools.ieee.org/m/382667
ORGANIZER:clambrou@MetroMLS.com
SEQUENCE:77
SUMMARY:AI in Healthcare: Transforming X-ray Radiology and Drug R&D with Tw
 o Different Approaches with Machine Learning and Machine Reasoning
URL;VALUE=URI:https://events.vtools.ieee.org/m/382667
X-ALT-DESC:Description: <br /><table width="100%">\n<tbody>\n<tr>\n<td>\n<p
 ><span style="font-size: 14pt\;"><strong><u>Who should attend</u></strong>
 <strong>: &nbsp\;anyone interested in artificial intelligence (AI) in the 
 healthcare industry\, including investors in healthcare companies\, doctor
 s/radiologists that read patient slides using AI tools\, researcher in mac
 hine learning\, and those curious to understand how Machine Reasoning diff
 ers from Machine Learning and why that&rsquo\;s important.</strong></span>
 </p>\n<p>&nbsp\;</p>\n</td>\n</tr>\n</tbody>\n</table>\n<p>&nbsp\;</p>
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