BEGIN:VCALENDAR VERSION:2.0 METHOD:PUBLISH PRODID:-//ACC//Meetings//EN BEGIN:VTIMEZONE TZID:Eastern Standard Time BEGIN:STANDARD DTSTART:16011101T020000 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:Eastern Standard Time END:STANDARD BEGIN:DAYLIGHT DTSTART:16010301T020000 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:Eastern Daylight Time END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT 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 will discuss the potential applications o f AI in CV imaging of coronary artery disease for diagnosis\, clinical dec ision support\, imaging processing\, and care quality improvement. This we binar will also include challenges AI faces in CV imaging.\n\nKey Objectiv es/Learning Outcomes:\nSummarize recent AI applications in CV Imaging.\nSy nthesize basic principles of machine learning including supervised and uns upervised machine learning.\nEvaluate potential applications of AI in CV I maging for diagnosis\, clinical decision support\, imaging processing\, an d care quality improvement.\nIdentify challenges AI faces in CV Imaging an d analyze the challenges related to conducting AI-based research projects\ , developing AI-based tools\, and ways to address these challenges.\n\nWeb inar Recording\n\n\n\n\nWebinar Participants\nAndrew Choi\, MD\, FACC\nDam ini Dey\, PhD\, FACC\nDipti Itchhaporia\, MD\, MACC\nPiotr Slomka\, PhD\, FACC\nAlfonso H. Waller\, MD\, FACC\n\nCredit Information\nNo credit is be ing offered for this webinar.\n\n\n\n\n\n .videoWrapper {\n position : relative\;\n padding-bottom: 56.25%\; /* 16:9 */\n padding-top: 25 px\;\n height: 0\;\n }\n .videoWrapper iframe {\n position: ab solute\;\n top: 0\;\n left: 0\;\n width: 100%\;\n height: 100% \;\n }\n DTEND;TZID=Eastern Standard Time:20240313T121500 DTSTAMP:20260624T184433Z DTSTART;TZID=Eastern Standard Time:20240313T120000 LOCATION:Online - Eastern Time (ET) SEQUENCE:0 SUMMARY:Artificial Intelligence in Cardiovascular Imaging: What Every Cardi ovascular Imager Should Know? (Part 2) UID:4dd91973-2c20-4419-9348-8a993122f254@acc.org X-ALT-DESC;FMTTYPE=text/html:

\n

\n\n

Webinar Overv iew

\n

This webinar\, presented by the ACC Ca rdiovascular (CV) Imaging Council's workgroup on Artificial Intelligence ( AI) and multimodality imaging and will discuss the potential applications of AI in CV imaging of coronary artery disease for diagnosis\, clinical de cision support\, imaging processing\, and care quality improvement. This w ebinar will also include challenges AI faces in CV imaging.

\n\n

Key Objectives/Learning Outcomes:

\n

Summarize recent AI applications in CV Imaging.
Synthesize basic principles of machine learning including supervised and u nsupervised machine learning.
Evaluate potential applications of AI in CV Imaging for diagnosis\, clinical decision support\, imaging proc essing\, and care quality improvement.
Identify challenges AI fa ces in CV Imaging and analyze the challenges related to conducting AI-base d research projects\, developing AI-based tools\, and ways to address thes e challenges.

\n\n

Webinar Recording

\n
\n\n
\n\n
Webinar Participants
\n
Andrew Cho i\, MD\, FACC
\nDamini Dey\, PhD\, FACC
\nDipti Itchhaporia\, MD\, M ACC
\nPiotr Slomka\, PhD\, FACC
\nAlfonso H. Waller\, MD\, FACC
\ n\n
Credit Information
\n
No cr edit is being offered for this webinar.
\n\n

\n\n

\n\n .videoWrapper {\n position: relative\;\n pa dding-bottom: 56.25%\; /* 16:9 */\n padding-top: 25px\;\n height: 0\ ;\n }\n .videoWrapper iframe {\n position: absolute\;\n top: 0 \;\n left: 0\;\n width: 100%\;\n height: 100%\;\n }\n< /BODY> BEGIN:VALARM ACTION:Display DESCRIPTION:Reminder TRIGGER:-PT15M END:VALARM END:VEVENT END:VCALENDAR