Radiology AI Podcasts | RSNA
Radiological Society of North America (RSNA)
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A podcast devoted to clinical radiology and allied sciences, owned and published by the Radiological Society of North America.
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3 hours ago
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.
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Apr 7, 2023
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.
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Mar 17, 2023
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.
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Feb 21, 2023
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
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Jan 27, 2023
Episode 26: Trainee Editorial Board Experience
Co-hosts Dr. Ali Tejani and Dr. Paul Yi speak with Merel Huisman, MD, PhD, John Mayfield, MD, MSc, and Iwan Paulucci, PhD about their Radiology AI: Trainee Editorial Board experiences.
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Dec 31, 2022
Episode 25: Radiology: AI RSNA2022 Fireside Chat LIVE
Live recording of the RSNA 2022 Fireside chat hosted by Paul Yi and Ali Tejani
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Nov 17, 2022
Episode 24: Radiology: AI Roundtable - Starting an AI Research Lab
Ali Tejani hosts a discussion with Drs. Kirti Magudia, Andreas Rauschecker, and Paul Yi about their research lab beginnings.
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Oct 7, 2022
Episode 23: NLP/Transformer Models for Radiology
In this episode Drs Paul Yi, Ali Tejani, and Jae Ho Sohn diccuss the topic of bidirectional encoder representations from transformers (BERT) models in relation to radiology.
Radiology: Artificial Intelligence Journal
-Paul Yi, MD, Assistant Professor and Director of University of Maryland Medical Intelligent Imaging Center
-Ali Tejani, MD, Radiology: Artificial Intelligence Podcast Co-host
-Jae Ho Sohn, MD, Assistant Professor at the University of California San Francisco
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Sep 9, 2022
Episode 22: Re-Release Interview with Kaggle Grandmaster Ian Pan, MD
In honor for the RSNA C-Spine Kaggle competition, here is a throwback episode when host Paul Ye interviewed Ian Pan, MD the world's first physician & Kaggle Grandmaster.
RSNA has teamed with the American Society of Neuroradiology (ASNR) and the American Society of Spine Radiology (ASSR) to conduct an AI challenge competition exploring whether artificial intelligence can be used to aid in the detection and localization of cervical spine fractures. In this challenge competition, competitors will try to develop machine learning models that match the radiologists' performance in detecting and localizing fractures to the seven vertebrae that comprise the cervical spine. Winners will be recognized at an event during the RSNA 2022 annual meeting. Check out the Challenge here: https://www.kaggle.com/competitions/rsna-2022-cervical-spine-fracture-detection
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Jul 15, 2022
Episode 21: Radiology-AI Software Developer & Real World Clinical Deployment of AI for Kidney Cyst Segmentation
Radiology: AI podcast host Dr. Paul Yi interviews Akshay Goel, MD – Board-Certified Radiologist and Senior Machine Learning Scientist at Tempus Labs.
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Jun 17, 2022
Episode 20: Ethics of AI in Radiology and Medicine
Dr. Paul Yi interivews Drs. Christoph Lehmann and John McGreevey about the ethics of AI in radiology and medicine.
Christoph Lehmann, MD; Willis C. Maddrey, M.D. Distinguished Professorship in Clinical Science; Professor of Pediatrics, Population and Data Sciences, and Bioinformatics at UT Southwestern, where he directs the Clinical Informatics Center.
John McGreevey, MD; Associate Professor of Clinical Medicine; Associate Chief Medical Information Officer, University of Pennsylvania Health System; Senior Fellow, Institute for Biomedical Informatics, University of Pennsylvania
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Apr 29, 2022
Episode 19: Radiology: AI Journal Reflections and Social Media Team Update
Charles Kahn, Jr., MD, MS, Hesham ElHalawani, MD, and Paul Yi, MD sit down to discuss the growth of the Radiology: AI Journal and what to expect from the social media team in the future.
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Jan 21, 2022
Episode 18: RSNA Fireside Chat
Live recording from the RSNA Annual Meeting 2021 for the Radiology: AI journals. Join Drs. Paul Yi and Dania Daye as they host a fireside discussion on all things AI past, present, and future.
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Nov 12, 2021
Episode 17:Impact of Medical Image Processing on Downstream AI Performance
Dr. Paul Yi interviews Bhavik Patel Senior Associate Consultant Associate Professor Department of Radiology Director of AI on recent article Impact of Upstream Medical Image Processing on
Downstream Performance of a Head CT Triage Neural
Network. Hooper et al. Radiology: Artificial Intelligence 2021; 3(4):e200229
Introduction to the podcast by Dania Daye, MD, PhD
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Oct 11, 2021
Episode 16 : Perspectives on radiology AI editorial process, direction of the field, and the importance of diversity in AI.
Dr. Paul Yi interviews Despina Kontos Matthew J. Wilson Associate Professor of Research Radiology II Associate Vice-Chair for Research University of Pennsylvania
Introduction to the podcast by Dania Daye, MD, PhD
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Aug 27, 2021
Episode 15: Development of AI in Radiology and Future Directions.
Dr. Paul Yi interviews Ronald Summers, MD, PhD Senior Investigator of Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, NIH Clinical Center
Disclaimer: The opinions expressed in this podcast are those of the participants and do not necessarily reflect those of the US Department of Health and Human Services or the National Institutes of Health. The mention of companies or commercial products in this podcast does not imply endorsement.
Introduction to the podcast by Dania Daye, MD, PhD
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Jul 30, 2021
Episode 14: RSNA Pulmonary Embolism Detection Challenge
Dr. Paul Yi interviews Carol Wu, MD, Professor, Department of Thoracic Imaging, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX and Ian Pan, MD, Radiology Resident, Brigham and Women's Hospital about the RSNA Pulmonary Embolism Detection Challenge.
Introduction to the podcast by Dania Daye, MD, PhD
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Jun 25, 2021
Episode 13: State of Radiology AI Algorithms in the Marketplace
Dr. Paul Yi interviews Hari Trivedi, MD, Assistant Professor of Radiology and Biomedical Informatics, co-director of the Health Innovation and Translational Informatics (HITI) lab Yasasvi Tadvarthi, MD, Resident Physician about their paper Radiology AI: Current Market Offerings and Purchasing Decisions, Tadavarthi et al.
Introduction to the podcast by Dania Daye, MD, PhD
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May 28, 2021
Episode 12: How to make a radiology practice "AI-ready"
Dr. Paul Yi interviews Bradley J. Erickson, M.D., Ph.D. Professor of Radiology at Mayo Clinic College of Medicine and Science in Rochester, Minnesota Medical director for Artificial Intelligence Innovation and Enablement across Mayo Clinic.
Introduction to the podcast by Dania Daye, MD, PhD
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Apr 30, 2021
Episode 11: Clinical Experience with AI Model for CT Head Triage
Dr. Paul Yi interviews Ronald Peshock, M.D. and Thomas O'Neill, M.D. on their article: Active Reprioritization of the Reading Worklist Using Artificial Intelligence Has a Beneficial Effect on the Turnaround Time for Interpretation of Head CT with Intracranial Hemorrhage
Introduction to the podcast by Dania Daye, MD, PhD
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Mar 26, 2021
Episode 10: NIH Data Scholar Program at Fogarty and Radiology:AI Trainee Editorial Board
Dr. Paul Yi interviews Judy Gichoya, Assistant Professor of Interventional Radiology and Informatics, Emory University & NIH Data Scholar at Fogarty
Introduction to the podcast by Dania Daye, MD, PhD
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Feb 26, 2021
Episode 9: AI in Global Radiology
Dr. Paul Yi interviews Drs. Farouk Dako, Felipe Kitamura, and Vidur Mahajan about Ai in global radiology.
Introduction to the podcast by Dania Daye, MD, PhD
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Jan 29, 2021
Episode 8: AI in Radiology Education
Dr. Paul Yi interviews Dr. Katherine Andriole and Dr. Walter F. Wiggin about AI in radiology education and their paper: Preparing Radiologists to Lead in the Era of Artificial Intelligence. Wiggins et al. Radiology: Artificial Intelligence 2020; 2(6):e200057
Introduction to the podcast by Dania Daye, MD, PhD
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Jan 1, 2021
Episode 7: Medical Imaging and Data Resource Center
Dr. Paul Yi interviews Dr. Maryellen Giger and Dr. Matt Lungren about MIDRC, a joint RSNA/ACR/AAPM effort to create an open source data set with tens of thousands of COVID 19 medical images for research.
Introduction to the podcast by Dania Daye, MD, PhD
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Nov 27, 2020
Episode 6: Radiology AI: Past, Present and Future
Dr. Paul Yi interviews Eliot Siegel, MD the Vice Chair of Radiology, University of Maryland.
Introduction to the podcast by Dania Daye, MD, PhD
RSNA2020 Virtual Meeting
https://www.rsna.org/annual-meeting
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Oct 30, 2020
Episode 5: Interview with Ian Pan, MD
Dr. Paul Yi interviews Dr. Ian Pan the world's first physician & Kaggle Grandmaster.
Introduction to the podcast by Dania Daye, MD, PhD
RSNA2020 Virtual Meeting
https://www.rsna.org/annual-meeting
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Sep 25, 2020
Episode 4: Interview with Dr. Curtis Langlotz
Dr. Paul Yi interviews Curtis P. Langlotz, MD, PhD, RSNA Board Liaison for Information Technology and Annual Meeting.
Introduction to the podcast by Dania Daye, MD, PhD
RSNA2020 Virtual Meeting
https://www.rsna.org/annual-meeting
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Jul 31, 2020
Episode 3: 2019 RSNA Brain CT Hemorrhage Challenge
Dr. Paul Yi interviews Adam Flanders, MD about his paper "Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge" from Radiology: Artificial Intelligence Volume 2: Number 3. [Full Text]
Introduction to the podcast by Dania Daye, MD, PhD
RSNA2020 Virtual Meeting
https://www.rsna.org/annual-meeting
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May 29, 2020
Episode 2: Author and Reviewer Guide to CLAIM
Dr. Paul Yi interviews Linda Moy, MD and John Mongan, MD, PhD about their paper "Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers" from Radiology: Artificial Intelligence Volume 2: Number 2. [Full Text]
Introduction to the podcast by Dania Daye, MD, PhD
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Apr 3, 2020
Episode 1: Welcome to the Radiology: AI podcast
Dr. Paul Yi interviews Radiology: Artificial Intelligence Editor Charles E. Kahn, Jr., MD, MS.
Introduction to the podcast by Dania Daye, MD, PhD
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