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2021 SCCT Innovation Online

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. 

View On Demand 
 
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

 

View On Demand
 
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

ChairsDamini Dey, PhD, FSCCT and Michael Lu, MD, MPH

 

View On Demand

 

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

 

 

View On Demand

  

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:
 
Sponsorship Opportunities 

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.