52 min listen
Episode 2: The Value of Machine Learning–based CT FFR
Episode 2: The Value of Machine Learning–based CT FFR
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)
Episode 1 - Welcome to the Radiology: Cardiothoracic Imaging Podcast: RSNA Expert Consensus Statement on Reporting Chest CT Findings Related to COVID-19 by Radiology Cardiothoracic Imaging Podcasts | RSNA