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SCCT Innovation Online
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Artificial Intelligence and Machine Learning in Cardiovascular CT Online Event

6hrs of content | Live Q&A with experts | Learning where it is convenient for you

April 24 | 10am - 3:05pm EST

 

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 event 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. 


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.

 

Organizing committee

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

 
Faculty
Damini Dey, PhD, FSCCT    Koen Nieman, MD, PhD, FSCCT
Saurabh Jha, MD
   Anders Persson, MD, PhD
Charles Kahn, MD
   Partho Sengupta, MD
Marton Kolossvary, MD
   Puneet Sharma, MD
James Kuht, MD
   Leslee Shaw, PhD, MSCCT
Michael Lu, MD
   Jeff Sorenson
Ken Mahaffey, MD
   Charley Taylor, PhD
James Min, MD, MSCCT
   Michelle Williams, MD, PhD, FSCCT
Ed Nicol, MD, MBA, FSCCT
 
 
 
Program
Time Talk Speaker
10:00am Welcome Ed Nicol, MD, MBA, FSCCT
Koen Nieman, MD, PhD, FSCCT
Michelle Williams, MD, PhD, FSCCT
10:10am An introduction to biomedical data analytics and machine learning Thanasis Tsanas, MD
10:25am Big data and coronary artery disease Ken Mahaffey, MD
10:40am Radiomics and coronary artery disease  Marton Kolossvary, MD
10:55am Q&A Moderators:
Leslee Shaw, PhD, MSCCT
Damini Dey, PhD, FSCCT
11:10am Break   
11:20am Imaging coronary artery disease Damini Dey, PhD, FSCCT
11:35am Machine learning in computational fluid dynamics Charles Taylor, PhD
11:50am Challenges and limitations of developing a clinical AI solutions for coronary CT reading and reporting  Alborz Amir-Khalili, PhD
12:05pm Q&A Moderators:
Michelle Williams, MD, PhD, FSCCT
James Kuht, MD
12:20pm Break   
12:45pm Implementing machine learning solutions in local research  Partho Sengupta, MD
1:00pm Finding data and making it useable Michael Lu, MD
1:15pm Bias and overfitting in machine learning Michelle Williams, MD, PhD, FSCCT
1:30pm Q&A  Moderators:
Michelle Williams, MD, PhD, FSCCT
Ron Blankstein, MD, MSCCT
1:50pm Break  
2:00pm Machine learning in cardiovascular imaging: Assuring high-quality science  Charles Kahn, MD
2:15pm Using ML/AI to advance image interpretation  Jeff Sorensen
2:30pm AI and advanced analytics in computed tomography (CFD)  Anders Persson, MD, PhD
2:45pm Q&A  Moderators:
Anders Persson, MD, PhD
Koen Nieman, MD, PhD, FSCCT
3:00pm Closing statements  Ed Nicol, MD, MBA, FSCCT
Koen Nieman, MD, PhD, FSCCT
Michelle Williams, MD, PhD, FSCCT

Print the program

Thank you to Arineta Cardio Imaging, Circle Cardiovascular Imaging and Siemens for their support of this program.

 

Registration
Status  Advanced rate 
 Physician, Scientist, Professional   $195
 Technologists  $65
 Fellows and residents  $65

 

Register now

 

Questions about the program or registration? Contact info@scct.org.

 

 

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.