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DTSTART:16011101T020000
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DESCRIPTION:\n\n\nWebinar Overview\nLearn how bridging clinical insight and
  data science can accelerate innovation in pediatric cardiology.\nJoin ACC
 's Adult Congenital and Pediatric Cardiology Member Section's Artificial I
 ntelligence (AI) Work Group to discover how collaboration between cardiolo
 gists and data scientists is reshaping pediatric cardiology. Speakers from
  the Boston Congenital Heart Artificial Intelligence (CHAI) Lab and Texas 
 Children's Hospital will highlight cutting-edge applications of AI\, inclu
 ding advances in echocardiography\, and share strategies for turning innov
 ation into clinical impact.\nKey Objectives/Learning Outcomes:\n\nUndersta
 nd practical strategies for building effective collaborations between pedi
 atric cardiologists and data scientists. \nIdentify key components of succ
 essful AI project design and implementation in pediatric cardiology. \nRec
 ognize the potential of AI-enabled echocardiography in pediatric cardiolog
 y. \nGain insight into the collaborative models driving innovation at the 
 Boston CHAI Lab and Texas Children's Hospital.\n\n\nWebinar Recording\n\n\
 n\n\nWebinar Participants\nMichael Satzer\, MD\nShaine A. Morris\, MD\, MP
 H\nJoshua Mayourian\, MD\, PhD\nSunil J. Ghelani\, MD\nPlaton Lukyanenko\,
  PhD\n\nCredit Information\nNo credit is being offered for this webinar.\n
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DTEND;TZID=Eastern Standard Time:20260107T131500
DTSTAMP:20260414T213907Z
DTSTART;TZID=Eastern Standard Time:20260107T130000
LOCATION:Online - Eastern Time (ET)
SEQUENCE:0
SUMMARY:Practical Aspects of AI in Pediatric Cardiology: From Data Science 
 to Clinician
UID:58329ee7-af29-4540-a76c-a275a23b7ec3@acc.org
X-ALT-DESC;FMTTYPE=text/html:<HTML><HEAD><META HTTP-EQUIV="Content-Type" CO
 NTENT="text/html\;charset=utf-8"></HEAD><BODY><div id="acc_arches_override
 ">\n<div class="w_100 c_acc p-t_1 p-b_1 p-r_4 p-l_4 m-b_4 m-t_4 br_solid b
 r_round br_acc texture_cross">\n\n<p class="font_1"><strong>Webinar Overvi
 ew</strong></p>\n<p class="font_0">Learn how bridging clinical insight and
  data science can accelerate innovation in pediatric cardiology.</p>\n<p c
 lass="font_0">Join ACC's Adult Congenital and Pediatric Cardiology Member 
 Section's Artificial Intelligence (AI) Work Group to discover how collabor
 ation between cardiologists and data scientists is reshaping pediatric car
 diology. Speakers from the Boston Congenital Heart Artificial Intelligence
  (CHAI) Lab and Texas Children's Hospital will highlight cutting-edge appl
 ications of AI\, including advances in echocardiography\, and share strate
 gies for turning innovation into clinical impact.</p>\n<p class="font_0"><
 strong>Key Objectives/Learning Outcomes:</strong></p>\n<ol class="font_0">
 \n<li>Understand practical strategies for building effective collaboration
 s between pediatric cardiologists and data scientists. </li>\n<li>Identify
  key components of successful AI project design and implementation in pedi
 atric cardiology.</li> \n<li>Recognize the potential of AI-enabled echocar
 diography in pediatric cardiology. </li>\n<li>Gain insight into the collab
 orative models driving innovation at the Boston CHAI Lab and Texas Childre
 n's Hospital.</li>\n</ol>\n\n<p class="font_1"><strong>Webinar Recording</
 strong></p>\n<div class="videoWrapper">\n<iframe width="560" height="315" 
 src="https://www.youtube.com/embed/LqjWzhG1G5Q?rel=0&modestbranding=1&widg
 et_referrer" frameborder="0" allow="accelerometer\; autoplay\; encrypted-m
 edia\; gyroscope\; picture-in-picture" allowfullscreen=""></iframe>\n</div
 >\n\n<p class="font_1"><strong>Webinar Participants</strong></p>\n<p><stro
 ng>Michael Satzer\, MD<br />\nShaine A. Morris\, MD\, MPH<br />\nJoshua Ma
 yourian\, MD\, PhD<br />\nSunil J. Ghelani\, MD<br />\nPlaton Lukyanenko\,
  PhD</strong></p>\n\n<p class="font_1"><strong>Credit Information</strong>
 </p>\n<p><em>No credit is being offered for this webinar.</em></p>\n\n</di
 v>\n\n</div>\n<style type="text/css">\n    .videoWrapper {\n    position: 
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