  
 March 10 | May 6 | June 9 | September 17 
  
We are witnessing an era of accelerated development of advanced artificial intelligence (AI) and machine learning (ML) techniques designed to maximize data extraction from conventional cardiac imaging. These applications offer the potential for scientific
    advancement and improved patient care.  
     This online series will bring together AI/ML developers, the clinical cardiac CT community and other relevant stakeholders to discuss the development, validation and clinical implementation of these technologies in cardiovascular medicine. 
  
Learn where cardiovascular imaging is going from the comfort of your office or home.  
  
Organizing committee
  
Damini Dey, PhD, FSCCT Michael Lu, MD, MPH Manish Motwani, MBChB, PhD Ed Nicol, MD, MBA, FSCCT Koen Nieman, MD, PhD, MSCCT Leslee Shaw, PhD, MSCCT Jonathan Weir-McCall, MBChB, PhD Michelle Williams, MD, PhD, FSCCT 
  
ON DEMAND | Why should I care about AI in Cardiac Imaging? Access to the On Demand recording is included in the series registration fees
This first installment is an introduction to the larger Artificial Intelligence and Machine Learning in Cardiovascular CT Online Series, which will explore how advances in AI and ML will impact all cardiovascular imaging modalities and healthcare as we know it.  
 
    
        
            |  Time (ET)
                
             | 
            Session  | 
            Speaker  | 
         
        
            |  10:00am - 10:05am | 
             Introduction | 
             Manish Motwani, MBChB, PhD | 
         
        
            |  10:05am - 10:23am | 
             Impact of AI/ML in cardiac CT: a clinical overview   | 
             Damini Dey, PhD, FSCCT | 
         
        
            |  10:24am - 10:42am  | 
             Impact of AI/ML in echocardiography: a clinical overview | 
             Partho Sengupta, MD | 
         
        
            |  10:43am - 11:01am | 
             Impact of AI/ML in cardiac MRI:  a clinical overview   | 
             Steffen Petersen, MD | 
         
        
            |  11:02am - 11:20am  | 
             Impact of AI/ML in nuclear cardiology: a clinical overview   | 
             Piotr Slomka, PhD | 
         
        
            |  11:20am - 11:35am | 
             Panel discussion/ Live Q&A from attendees | 
              | 
         
        
            |  11:35am - 11:40am  | 
             Closing remarks | 
             Koen Nieman, MD, PhD, MSCCT  Leslee Shaw, PhD, MSCCT
  | 
         
    
 
Chairs: Leslee Shaw, PhD, MSCCT and Manish Motwani, MBChB, PhD 
This program is supported by an educational grant from HeartFlow.  
 
ON DEMAND | AI/ML basics/overview methodology - pearls and pitfalls
10am - 1pm ET
 
    
        
            |  Time (ET) | 
            Session | 
            Speaker | 
         
        
            |  10:00am - 10:05am 
             | 
             Welcome | 
             Ed Nicol, MD, MBA, FSCCT | 
         
        
            |  10:05am - 10:20am | 
             How is AI/ML going to transform Cardiovascular Imaging? | 
             Manish Motwani, MBChB, PhD
             | 
         
        
            |  10:20am - 10:40am | 
             The absolute basics | 
             Michelle Williams, MD, PhD, FSCCT | 
         
        
            |  10:40am - 11:00am | 
             Basics of statistical ML models | 
             Pranav Rajpurkar | 
         
        
            |  11:00am - 11:20am | 
             Basics of deep learning | 
             Ivana Isgum, PhD | 
         
        
            |  11:20am - 11:35am | 
             Panel discussion/ Live Q&A from attendees | 
             | 
         
        
            |  11:35am - 11:40am | 
             Break
             | 
             | 
         
        
            |  11:40am - 12:05pm | 
             Top 10 papers in cardiovascular imaging AI in 2020/2021 | 
             Todd C. Villines, MD, MSCCT | 
         
        
            |  12:05pm - 12:30pm | 
             Current clinical applications of AI/ML in cardiac CT | 
             Michael Lu, MD, MPH | 
         
        
            |  12:30pm - 12:45pm | 
             Panel discussion/ Live Q&A from attendees | 
             | 
         
        
            |  12:45pm - 1:00pm | 
             Closing Comments  | 
             Michael Lu, MD, MPH  Michelle Williams, MD, PhD, FSCCT | 
         
    
 
Chairs: Michelle Williams, MD, PhD, FSCCT and Michael Lu, MD, MPH 
  
 
ON DEMAND | June 9 | AI/ML in Coronary Artery Disease 
10am - 1:40pm ET
    
        
            |  Time (ET) | 
            Session | 
            Speaker | 
         
        
            | 10:00am-10:20am | 
             Machine learning for risk prediction in coronary artery disease | 
             Damini Dey, PhD, FSCCT
             | 
         
        
            | 10:20am-10:40am | 
             Radiomics and big data in coronary artery disease | 
             Marton Kolossvary, MD, PhD | 
         
        
            | 10:40am-11:00am | 
             Deep learning for automation in coronary artery disease | 
             Ivana Isgum, PhD | 
         
        
            | 11:00am-11:20am | 
             Machine learning for  CT-FFR | 
             Koen Nieman, MD, PhD, MSCCT
             | 
         
        
            | 11:20am-11:40am | 
             Machine learning for epicardial and pericoronary adipose tissue | 
             Andrew Lin,	MBBS, BMedSci, PhD | 
         
        
            | 11:40am-12:00pm | 
             Live Q&A from attendees | 
             Panel discussion | 
         
        
            | 12:00pm-12:05pm | 
             Break | 
              | 
         
        
            | 12:05pm-12:35pm | 
             Siemens Sponsored Symposium - Role of AI in Coronary Artery Disease - From Diagnosis to Therapy | 
             Puneet Sharma | 
         
        
            | 12:35pm-2:55pm | 
             Legal, ethical, & regulatory issues with clinical ML/Who is responsible when things go wrong? | 
             Saurabh Jha, MBBS, MRCS, MS | 
         
        
            | 12:55pm-1:15pm | 
             Hope vs. Hype: The implementation challenges of AI | 
             Ed Nicol, MD, MBA, FSCCT
             | 
         
        
            | 1:15pm-1:35pm | 
             Live Q&A from attendees | 
             Panel discussion
             | 
         
        
            | 1:35pm-1:40pm | 
             Closing Comments  | 
             Damini Dey, PhD, FSCCT  Michael Lu, MD, MPH
                
             | 
         
    
 
Chairs: Damini Dey, PhD, FSCCT and Michael Lu, MD, MPH
 
  
  
September 17 | AI/ML in Structural Heart Disease   10am - 1:30pm ET
  
    
        
            |  Time (ET) | 
             Session | 
             Speaker | 
         
        
            | 10:00 - 11:25am  | 
             Session moderator | 
            Jonathon Leipsic, MD, MSCCT
             | 
         
        
            | 10:00 - 10:10am | 
             Introduction to AI/ML in SHD | 
            Jonathan Weir-McCall, MD, PhD | 
         
        
            | 10:10 - 10:30am | 
             AI in preprocedural work-up: Valve and annulus assessment | 
            Patricio Astudillo, PhD | 
         
        
            | 10:30 - 10:50am | 
             AI in preprocedural work-up: ventricular & coronary assessment | 
            Carlo De Cecco, MD, PhD, FSCCT | 
         
        
            | 10:50 - 11:10am | 
             AI & Echocardiography in SHD | 
            Bob de Vos, PhD | 
         
        
            | 11:10 - 11:25am | 
            Live Q&A from attendees
                
             | 
            Panel discussion | 
         
        
            | 11:25 - 11:30am
             | 
             Break | 
              | 
         
        
            | 11:30am - 12:00pm
             | 
             Canon Sponsored Symposium: Why atherosclerosis is all that really matters
             | 
            James K. Min, MD, MSCCT and Jeroen Bax, MD, PhD
             | 
         
        
            | 12:00 - 1:30pm | 
             Session moderator | 
            Carlo De Cecco, MD, PhD, FSCCT | 
         
        
            | 12:00 - 12:20pm
             | 
             Clinical Insights from big data & machine learning in structural valvular disease | 
            Lakshmi Prasad Dasi, MD | 
         
        
            | 12:20 - 12:40pm | 
             Constructive integration: 3D Printing, Computational Modeling, and Artificial Intelligence for Structural Heart Disease | 
            Steven Niederer, MD | 
         
        
            | 12:40 - 1:00pm | 
             Current challenges in AI: Validity and Clinical Implementation | 
            Tim Leiner, MD, PhD, FSCCT | 
         
        
            | 1:00 - 1:20pm | 
             Live Q&A from attendees
                
             | 
            Panel discussion | 
         
        
            | 1:20 - 1:30pm | 
             Closing Comments | 
            Ed Nicol, MD, MBA, FSCCT | 
         
    
 
  
Registration 
Save $105 by registering for the live series. Before September 17, registration will include access to all of the recordings and the 10.5 AMA PRA Category 1 CreditsTM  that
    go along with them. After September 17, On Demand access will be available for an additional fee. 
    
        
            | Member status | 
            Full series registration *Includes session recordings 
                
             | 
            Single webinar registration | 
            Post-event recordings only (Full series)  | 
         
        
            | Physician, Scientist, Professional | 
            $195 | 
             $85 | 
             $300 | 
         
        
            | Community and non-members | 
            $295 | 
             $125 | 
             $400 | 
         
    
 
    
        
            |                                                                      
                                                                     | 
              | 
             Save 30% by registering for the full series | 
             Save 35% by registering for the live events | 
         
    
 
  
  
  
  
Questions about the program or registration? Contact info@scct.org. 
 
Accessing the platform
 
The activity will be hosted on the SwapCard platform.  
It is recommended that participants test their access to the SwapCard platform via the access link provided via email the week of the event prior to start of the activity. 
SCCT is not responsible for connectivity or institutional firewall issues. 
  
    
        
              | 
            Continuing Medical Education: The Society of Cardiovascular Computed Tomography
                (SCCT) is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.
  The Society of
                Cardiovascular Computed Tomography designates this live educational activity for a maximum of 10.5 AMA PRA Category 1 CreditsTM .
             | 
         
    
 
  
Thank you to our partners:
Patrons:
 
Why Sponsor? As a sponsor of the
Innovation Meeting Series, your company will be seen as leaders and supporters
at the forefront of this networking, road testing and collaboration engagement
project. Sponsoring this meeting offers a competitive advantage at a time of
significant interest. SCCT has defined the
three levels of sponsorship for this meeting. The levels of recommended
sponsorship benefits are designed to increase the exposure and positioning of
your company. The more you choose to support, the higher your level and
increased visibility throughout the meeting. 
Contact Joanne Olson at jolson@scct.org for more information.  
   
	
		
	
	
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