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Episode 2: The Value of Machine Learning–based CT FFR

Episode 2: The Value of Machine Learning–based CT FFR

FromRadiology Cardiothoracic Imaging Podcasts | RSNA


Episode 2: The Value of Machine Learning–based CT FFR

FromRadiology Cardiothoracic Imaging Podcasts | RSNA

ratings:
Length:
59 minutes
Released:
Aug 21, 2020
Format:
Podcast episode

Description

On this episode of the podcast, host Praveen Ranganath breaks down the recent publication in Radiology: Cardiothoracic Imaging on a machine learning-based CT-FFR technique for triple rule out coronary CTAs through conversations with Dr. Simon Martin, the study’s first author, and with Dr. Abdul Ihdayhid, the author of the accompanying editorial. If you’re interested in coronary CTA, CT-FFR, and machine learning, dive into this episode and enjoy! 00:00-01:02 - Introduction with Dr. Abbara 05:19-17: 25 - Interview with Dr. Martin -Value of Machine Learning–based Coronary CT Fractional Flow Reserve Applied to Triple-Rule-Out CT Angiography in Acute Chest Pain. Martin et al.  17:26-58:26 - Interview with Dr. Ihdayhid- Machine Learning CT FFR: The Evolving Role of On-Site Techniques. Ihdayhid, and Zekry.  
Released:
Aug 21, 2020
Format:
Podcast episode

Titles in the series (26)

A podcast from the Radiology: Cardiothoracic Imaging journal focusing on recently publications and trending topics. Host: Dr. Praveen Ranganath Journal editor-in-chief: Dr. Suhny Abbara Production: Kelly Myers Music: Dr. Jacob Fleming