Radiology Cardiothoracic Imaging Podcast | RSNA

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.

On this kickoff episode, host Dr. Praveen Ranganath discusses the recently-published RSNA Expert Consensus Statement on Reporting Chest CT Findings Related to COVID-19 with the journal's editor-in-chief Dr. Suhny Abbara, the statement's co-first authors Dr. Scott Simpson and Dr. Fernando Kay, and senior author Dr. Harold Litt. 2:20-8:44- Interview with Dr. Abbara 8:45-29:25- Interview with Dr. Simpson and Dr. Kay 29:26- 51:07- Interview with Dr. Litt