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X-WR-CALDESC:John T. Milliken Department of Medicine - Events
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UID:20231015T0612Z-1697350360.1434-EO-53172-1@172.23.128.18
STATUS:CONFIRMED
DTSTAMP:20260717T210350Z
CREATED:20231015T010756Z
LAST-MODIFIED:20231015T010955Z
DTSTART;TZID=America/Chicago:20231025T073000
DTEND;TZID=America/Chicago:20231025T153000
SUMMARY: Generative AI & LLMs in Health & Medicine
DESCRIPTION: In this livestream\, the National Academy of Medicine (NAM) Le
 adership Consortium: Collaboration for a Learning Health System (LC) will e
 xplore the issues\, activities\, opportunities\, and guideposts related to 
 rapidly developing large language models (LLMs)/generative artificial intel
 ligence (AI) tools for use in health and medicine. The conversation will br
 ing together key players\, such as health professionals\, […]
X-ALT-DESC;FMTTYPE=text/html: <p><img class="aligncenter size-large wp-imag
 e-53173" src="https://internalmedicine.washu.edu/app/uploads/2023/10/DHAC-1
 0.25-meeting-1-1024x576.png" alt="Generative AI & LLMs in Health & Medicine
  banner" width="750" height="422" />In this livestream\, the National Acade
 my of Medicine (NAM) Leadership Consortium: Collaboration for a Learning He
 alth System (LC) will explore the issues\, activities\, opportunities\, and
  guideposts related to rapidly developing large language models (LLMs)/gene
 rative artificial intelligence (AI) tools for use in health and medicine.</
 p><p>The conversation will bring together key players\, such as health prof
 essionals\, technology developers\, and government stakeholders\, to share 
 perspectives on the key needs that can catalyze the basis of a shared agend
 a.</p><p><a href="https://nam.edu/event/generative-ai-llms-in-health-medici
 ne/"><strong>View Livestream signup and details here.</strong></a></p>
ORGANIZER;CN="McKinzie":MAILTO:tolliver.m@wustl.edu
URL;VALUE=URI:https://internalmedicine.wustl.edu/events/event/generative-ai
 -llms-in-health-medicine/
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TZID:America/Chicago
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TZOFFSETFROM:-0600
TZOFFSETTO:-0500
DTSTART:20230312T080000
TZNAME:CDT
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