Grants and Contributions:

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Title:

Automatic detection of echocardiographic views using artificial intelligence

Agreement Number:

EGP

Agreement Value:

$25,000.00

Agreement Date:

Mar 7, 2018 -

Organization:

Natural Sciences and Engineering Research Council of Canada

Location:

Ontario, CA

Reference Number:

GC-2017-Q4-00457

Agreement Type:

Grant

Report Type:

Grants and Contributions

Additional Information:

Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019).

Recipient's Legal Name:

Derpanis, Konstantinos (Ryerson University)

Program:

Engage Grants for universities

Program Purpose:

Ventripoint Diagnostic Ltd. is a medical device company engaged in developing a suite of applications forx000D
measuring the volumes of all four chambers of the heart at the end diastolic and end systolic phases of the heartx000D
to help identify heart diseases. The goal of this project is to develop algorithms to automatically detectx000D
echocardiographic views and heart parts, such as the endocardium, septum, pulmonic annulus, tricuspidx000D
annulus, and apex within the identified view. The developed algorithms will serve to extend the functionalityx000D
of Ventripoint's existing analysis software using artificial intelligence.