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DTSTART:16011101T020000
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DESCRIPTION:\n\n\nWebinar Overview\nThis webinar\, presented by the ACC Car
 diovascular (CV) Imaging Council's workgroup on Artificial Intelligence (A
 I) and multimodality imaging and the ACC Innovation Section\, will discuss
  the potential applications of AI in CV imaging of heart failure for diagn
 osis\, clinical decision support\, imaging processing\, and care quality i
 mprovement. The webinar series will also include how to read an AI CV imag
 ing paper.\n\nKey Objectives/Learning Outcomes:\nSummarize recent AI appli
 cations in CV Imaging.\nEvaluate potential applications of AI in CV Imagin
 g for diagnosis\, clinical decision support\, imaging processing\, and car
 e quality improvement.\nSummarize and critically appraise publications/pre
 sentations of AI-based research in CV Imaging.\n\nWebinar Recording\n\n\n\
 n\nWebinar Participants\nArun Mahtani\, MD \nMichael Salerno\, MD\, PhD\, 
 FACC\nPartho Sengupta\, MD\, FACC\nJordan B. Strom\, MD\, FACC\nAlfonso H.
  Waller\, MD\, FACC\n\nCredit Information\nNo credit is being offered for 
 this webinar.\n\n\n\n\n\n    .videoWrapper {\n    position: relative\;\n  
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DTEND;TZID=Eastern Standard Time:20240215T121500
DTSTAMP:20260627T082849Z
DTSTART;TZID=Eastern Standard Time:20240215T120000
LOCATION:Online - Eastern Time (ET)
SEQUENCE:0
SUMMARY:Artificial Intelligence in Cardiovascular Imaging: What Every Cardi
 ovascular Imager Should Know? (Part 1)
UID:06a2e1b7-08c5-4ef2-9f2c-02f1cf3fd4cd@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_acc texture_cross">\n\n<p class="font_1"><strong>Webinar Overview</stron
 g></p>\n<p class="font_0">This webinar\, presented by the ACC Cardiovascul
 ar (CV) Imaging Council's workgroup on Artificial Intelligence (AI) and mu
 ltimodality imaging and the ACC Innovation Section\, will discuss the pote
 ntial applications of AI in CV imaging of heart failure for diagnosis\, cl
 inical decision support\, imaging processing\, and care quality improvemen
 t. The webinar series will also include how to read an AI CV imaging paper
 .</p>\n\n<p class="font_0"><strong>Key Objectives/Learning Outcomes:</stro
 ng></p>\n<ul class="font_0"><li>Summarize recent AI applications in CV Ima
 ging.</li>\n<li>Evaluate potential applications of AI in CV Imaging for di
 agnosis\, clinical decision support\, imaging processing\, and care qualit
 y improvement.</li>\n<li>Summarize and critically appraise publications/pr
 esentations of AI-based research in CV Imaging.</li></ul>\n\n<p class="fon
 t_1"><strong>Webinar Recording</strong></p>\n<div class="videoWrapper">\n<
 iframe width="560" height="315" src="https://www.youtube.com/embed/SK3MzrZ
 A47M?rel=0&modestbranding=1&widget_referrer" frameborder="0" allow="accele
 rometer\; autoplay\; encrypted-media\; gyroscope\; picture-in-picture" all
 owfullscreen></iframe>\n</div>\n\n<p class="font_1"><strong>Webinar Partic
 ipants</strong></p>\n<p>Arun Mahtani\, MD <br>\nMichael Salerno\, MD\, PhD
 \, FACC<br>\nPartho Sengupta\, MD\, FACC<br>\nJordan B. Strom\, MD\, FACC<
 br>\nAlfonso H. Waller\, MD\, FACC</p>\n\n<p class="font_1"><strong>Credit
  Information</strong></p>\n<p><em>No credit is being offered for this webi
 nar.</em></p>\n\n</div>\n\n</div>\n<style type="text/css">\n    .videoWrap
 per {\n    position: relative\;\n    padding-bottom: 56.25%\; /* 16:9 */\n
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