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SCCT Innovation Series
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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. 

The SCCT Innovation 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. 

Designed to promote intensive interaction in an informal way, this meeting will include hands-on workshop experience in data and image analysis with AI/ML tools, lectures from experts in the field and round-table discussion.


Register now

 

Program content

This meeting will focus on developments in AI and ML, that have the potential to impact on cardiovascular medicine and cardiovascular CT. Recognizing that within these boundaries the potential of these technologies is still broad, we will focus in this first meeting on the theme of coronary artery disease, allowing for an in-depth discussion on clinical applications of these technologies with a wide range of stakeholders from clinical, academic and commercial arenas. 

Themes for future meeting themes would include wider clinical applications of these technologies in the areas of structural. congenital, heart muscle and electrical heart disease.

 

View program

 
Faculty
Kimberly Brockenbrough    Jim Min, MD, FSCCT
Rajesh Dash, PhD    Ed Nicol, MD, MBA, FSCCT
Bruno DeMan    Koen Nieman, MD, PhD
Damini Dey, PhD, FSCCT    Anders Persson, MD, PhD
Leo Grady
   Daniel Rubin, MD, MS
Saurabh Jha, MD
   Partho Sengupta
Charles Kahn, MD
   Puneet Sharma
Marton Kolossvary, MD
   Leslee Shaw, PhD, FSCCT
James Kuht MD
   Jeff Sorenson
Michael Lu    Charlie Taylor, PhD
Ken Mahaffey    Michelle Williams, MD, PhD, FSCCT
Maulik Majmuda    Andrew Williams
Michael McConnell, MD    

 

 

Abstracts

Abstracts are invited on the topic of Practical and ethical challenges in machine learning/AI and their solutions.

Do you have an experience of developing a machine learning/AI solution for an aspect of cardiovascular computed tomography? What were the practical or ethical challenges that you faced and how did you overcome these? We are looking for interesting abstracts from clinical medicine, research or industry that discuss these issues.

Requirements: Abstracts should be 250 words long and consist of text only (no figures or tables).

 

Submit an abstract

Format: Accepted abstracts will be invited to present a 15 minute talk about their experiences at the SCCT Innovation meeting. Abstracts will be held Saturday, April 25 for 1:30 to 3pm. 

Key dates for the Innovation Series 2020 abstract program

Nov. 8, 2019 Abstract submission opens
Jan. 13, 2020 Abstract submission closes
Early Feb. 2020 Notifications sent to First Authors
Mid-Feb. 2020 Abstract acceptance/decline deadline

 

Commercial Relationship Disclosure Procedures

  • All financial relationships with commercial interests relevant to the research reported in the abstract must be disclosed.
  • As the First Author, it is your responsibility to provide all commercial relationship disclosures for yourself, your spouse/partner and each of your co-authors during the abstract acceptance process.
  • Relevant non-remunerative positions that may create a conflict of interest must also be reported.
 
Registration

Registration includes coffee breaks and Saturday lunch.

Status  Advanced rate  Late/Onsite rate 
 Member  $495  $595
 Non-member  $495  $595
 Fellows and residents  $195  $295
 Technologists  $195  $295

 

Register now

 

Organizing committee

Ed Nicol, MD, MBA, FSCCT
Koen Nieman, MD, PhD, FSCCT
Michelle Williams, MD, PhD, FSCCT

 

Hotel and Travel

New York Marriott East Side
525 Lexington Avenue at 49th Street
New York, NY 10017

SCCT Rate: $219
Destination Fee: $25 per night per room
Cut-off date: March 23, 2020

 
Cancellation Policy

The registration fees for all workshops, academies and symposium are non-refundable or transferable.

Cancellation of conference or meeting registration does not constitute a cancellation of your hotel room. Please be sure to handle both separately. 

 
703-766-1706

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Arlington, VA 22209