Radiology AI Podcasts | RSNA
A podcast devoted to clinical radiology and allied sciences, owned and published by the Radiological Society of North America.
Latest episodes
Sep 29, 2023 • 21min
Episode 36: Algorithmic Fairness in Machine Learning
Drs. Paul Yi and Ali Tejani speak with Dr. Kareem A. Wahid about Algorithmic Fairness in Machine Learning and why it's relevant to healthcare Check out Dr. Wahid's blog about this topic here
Sep 15, 2023 • 17min
Episode 35: Sustainability in AI - Part 2
Drs. Paul Yi and Ali Tejani speak with Dr. Florence Doo, the Director of Innovation University of Maryland Medical Center, about Sustainability in AI.
Sep 1, 2023 • 13min
Episode 34: Sustainability in AI - Part 1
Drs. Paul Yi and Ali Tejani speak with Dr. Florence Doo, the Director of Innovation University of Maryland Medical Center, about Sustainability in AI.
Jul 28, 2023 • 22min
Episode 33: Roundtable Discussion Series - Generative AI - Part 2
Drs. Paul Yi and Ali Tejani host a roundtable discussion with Drs. Felipe Kitamura and Bardia Khosravi about Generative AI.
Jun 30, 2023 • 16min
Episode 32: Roundtable Discussion Series - Generative AI - Part 1
Drs. Paul Yi and Ali Tejani host a roundtable discussion with Drs. Felipe Kitamura and Bardia Khosravi about Generative AI.
Jun 2, 2023 • 26min
Episode 31: Breast Imaging Datasets (EmBED) - Part 2
Co-Hosts Paul Yi and Ali Tejani interview Drs Hari Trivedi and MinJae Woo about their article recently published in the Radiology: Artificial Intelligence. The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.4 Million Screening and Diagnostic Mammographic Images. Jeong and Vey et al. Radiology: Artificial Intelligence 2023; 5(1):e220047.
May 31, 2023 • 23min
Episode 30: Breast Imaging Datasets (EmBED) - Part 1
Co-Hosts Paul Yi and Ali Tejani interview Drs Hari Trivedi and MinJae Woo about their article recently published in the Radiology: Artificial Intelligence. The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.4 Million Screening and Diagnostic Mammographic Images. Jeong and Vey et al. Radiology: Artificial Intelligence 2023; 5(1):e220047.
Apr 7, 2023 • 27min
Episode 29: Weakly-Supervised Learning for Global, Examination Labels and Code-Sharing Practices- Part 2
Co-hosts Dr. Paul Yi and Dr. Ali Tenjani speak with Jacopo Teneggi and Dr. Jeremias Sulam about Jacopo's trainee award winning research Weakly-Supervised Learning Substantially Reduces the Number of Labels Required for Intracranial Hemorrhage Detection on Head CT.
Mar 17, 2023 • 20min
Episode 28: Weakly-Supervised Learning for Global, Examination Labels and Code-Sharing Practices- Part 1
Co-hosts Dr. Paul Yi and Dr. Ali Tenjani speak with Jacopo Teneggi and Dr. Jeremias Sulam about Jacopo's trainee award winning research Weakly-Supervised Learning Substantially Reduces the Number of Labels Required for Intracranial Hemorrhage Detection on Head CT.
Feb 21, 2023 • 49min
Episode 27: ChatGPT- Special Radiology Podcast Collaboration
Drs. Paul Yi and Ali Tejani team up with Radiology podcast host Dr. Linda Chu to discuss the hot topic of ChatGPT with Dr. Som Biswas, Dr. Felipe Kitamura, and PhD Student Artie Shen. For more ChatGPT content check out this articles- ChatGPT and the Future of Medical Writing- Dr. Som Biswas ChatGPT Is Shaping the Future of Medical Writing but Still Requires Human Judgment- Dr. Felipe Kitamura ChatGPT and Other Large Language Models Are Double-edged Swords- Shen et al
