Radiology AI Podcasts | RSNA
49 episodes - English - Latest episode: about 10 hours ago -A podcast devoted to clinical radiology and allied sciences, owned and published by the Radiological Society of North America.
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Episodes
AI for Opportunistic Imaging Part 2
April 26, 2024 14:00 - 22 minutes - 30.8 MBDr. Paul Yi and Dr. Ali Tejani host a roundtable discussion on the role for AI for opportunistic imaging with Dr. Kirti Magudia, Dr. Michael Rosenthal, and Dr. Abhinav Suri. Imaging AI in Practice collection
AI for Opportunistic Imaging
March 29, 2024 14:00 - 22 minutes - 30.8 MBDr. Paul Yi and Dr. Ali Tejani host a roundtable discussion on the role for AI for opportunistic imaging with Dr. Kirti Magudia, Dr. Michael Rosenthal, and Dr. Abhinav Suri. Imaging AI in Practice collection
AI for Opportunistic Imaging Part 1
March 29, 2024 14:00 - 22 minutes - 30.8 MBDr. Paul Yi and Dr. Ali Tejani host a roundtable discussion on the role for AI for opportunistic imaging with Dr. Kirti Magudia, Dr. Michael Rosenthal, and Dr. Abhinav Suri. Imaging AI in Practice collection
Interview with Dr. Charles Kahn
March 01, 2024 15:00 - 15 minutes - 21.9 MBCo-hosts Dr. Paul Yi and Dr. Ali Tejani interview Dr. Charles Kahn, Editor of Radiology: Artificial Intelligence about how the journal has grown, plans for the future, and the RSNA Annual Meeting 2023. Dr. Kahn's official blog for the Radiology: AI journal
A Year in Review for Radiology AI 2023
January 26, 2024 15:00 - 33 minutes - 46.2 MBCo-hosts Dr. Paul Yi and Dr. Ali Tejani talk about all of the advances that came out in AI last year and what they predict will be the future of the field for 2024. Data Resources
Radiology: AI RSNA2023 Fireside Chat LIVE
January 02, 2024 15:10 - 52 minutes - 72 MBLive recording of the RSNA 2023 Fireside chat hosted by Paul Yi and Ali Tejani
TotalSegmentator
November 17, 2023 15:00 - 18 minutes - 25.3 MBCo-hosts Dr. Paul Yi and Dr. Ali Tejani talk to Dr. Jakob Wasserthal about Robust Segmentation of 104 Anatomic Structures in CT Images. TotalSegmentator: Robust Segmentation of 104 Anatomic Structures in CT Images. Wasserthal et al.Radiology: Artificial Intelligence 2023; 5(5):e230024. TotalSegmentator
Models to Automate Estimation of Myelin Maturity
October 27, 2023 14:00 - 24 minutes - 33.6 MBCo-hosts Dr. Paul Yi and Dr. Ali Tejani talk to Drs. Tugba Akincidantonoli and Jakob Wasserthal about Models to Automate Estimation of Myelin Maturity. Development and Evaluation of Deep Learning Models for Automated Estimation of Myelin Maturation Using Pediatric Brain MRI Scans. Akinci D’Antonoli et al. Radiology: Artificial Intelligence 2023; 5(5):e220292.
Algorithmic Fairness in Machine Learning
September 29, 2023 14:00 - 20 minutes - 28.8 MBDrs. 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
Sustainability in AI-Part 2
September 15, 2023 14:00 - 17 minutes - 23.6 MBDrs. Paul Yi and Ali Tejani speak with Dr. Florence Doo, the Director of Innovation University of Maryland Medical Center, about Sustainability in AI.
Sustainability in AI- Part 1
September 01, 2023 14:00 - 12 minutes - 17.5 MBDrs. Paul Yi and Ali Tejani speak with Dr. Florence Doo, the Director of Innovation University of Maryland Medical Center, about Sustainability in AI.
Roundtable Discussion Series - Generative AI (Part 2)
July 28, 2023 14:00 - 21 minutes - 30.2 MBDrs. Paul Yi and Ali Tejani host a roundtable discussion with Drs. Felipe Kitamura and Bardia Khosravi about Generative AI.
Roundtable Discussion Series - Generative AI (Part 1)
June 30, 2023 14:00 - 16 minutes - 22.1 MBDrs. Paul Yi and Ali Tejani host a roundtable discussion with Drs. Felipe Kitamura and Bardia Khosravi about Generative AI.
Breast Imaging Datasets (EmBED) Part 2
June 02, 2023 14:00 - 25 minutes - 35.2 MBCo-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.
Breast Imaging Datasets (EmBED) Part 1
May 31, 2023 19:57 - 23 minutes - 31.9 MBCo-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.
Weakly-Supervised Learning for Global, Examination Labels and Code-Sharing Practices- Part 2
April 07, 2023 14:00 - 27 minutes - 37.6 MBCo-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.
Weakly-Supervised Learning for Global, Examination Labels and Code-Sharing Practices- Part 1
March 17, 2023 14:00 - 20 minutes - 28.1 MBCo-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.
Episode 27: ChatGPT- Special Radiology Podcast Collaboration
February 21, 2023 15:00 - 48 minutes - 67.3 MBDrs. 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
Episode 17: ChatGPT- Special Radiology Podcast Collaboration
February 21, 2023 15:00 - 48 minutes - 67.3 MBDrs. 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
Episode 26: Trainee Editorial Board Experience
January 27, 2023 15:00 - 38 minutes - 52.4 MBCo-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.
Episode 25: Radiology: AI RSNA2022 Fireside Chat LIVE
December 31, 2022 17:16 - 55 minutes - 76.8 MBLive recording of the RSNA 2022 Fireside chat hosted by Paul Yi and Ali Tejani
Episode 24: Radiology: AI Roundtable - Starting an AI Research Lab
November 17, 2022 15:00 - 43 minutes - 59.2 MBAli Tejani hosts a discussion with Drs. Kirti Magudia, Andreas Rauschecker, and Paul Yi about their research lab beginnings.
Episode 23: NLP/Transformer Models for Radiology
October 07, 2022 14:00 - 41 minutes - 33 MBIn 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
Episode 22: Re-Release Interview with Kaggle Grandmaster Ian Pan, MD
September 09, 2022 14:00 - 26 minutes - 21.6 MBIn 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...
Episode 21: Radiology-AI Software Developer & Real World Clinical Deployment of AI for Kidney Cyst Segmentation
July 15, 2022 14:00 - 42 minutes - 34.1 MBRadiology: AI podcast host Dr. Paul Yi interviews Akshay Goel, MD – Board-Certified Radiologist and Senior Machine Learning Scientist at Tempus Labs.
Episode 20: Ethics of AI in Radiology and Medicine
June 17, 2022 17:00 - 50 minutes - 40.6 MBDr. 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 H...
Episode 19: Radiology: AI Journal Reflections and Social Media Team Update
April 29, 2022 14:00 - 41 minutes - 33.3 MBCharles 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.
Episode 18: RSNA Fireside Chat
January 21, 2022 18:00 - 58 minutes - 46.8 MBLive 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.
Episode 17:Impact of Medical Image Processing on Downstream AI Performance
November 12, 2021 15:00 - 37 minutes - 29.8 MBDr. 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
Episode 16 : Perspectives on radiology AI editorial process, direction of the field, and the importance of diversity in AI.
October 11, 2021 04:53 - 35 minutes - 28.4 MBDr. 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
Episode 15: Development of AI in Radiology and Future Directions.
August 27, 2021 14:00 - 33 minutes - 26.8 MBDr. 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, M...
Episode 14: RSNA Pulmonary Embolism Detection Challenge
July 30, 2021 14:00 - 34 minutes - 27.5 MBDr. 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
Episode 13: State of Radiology AI Algorithms in the Marketplace
June 25, 2021 14:00 - 38 minutes - 30.6 MBDr. 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
Episode 12: How to make a radiology practice "AI-ready"
May 28, 2021 14:00 - 37 minutes - 30.2 MBDr. 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
Episode 11: Clinical Experience with AI Model for CT Head Triage
April 30, 2021 14:00 - 29 minutes - 23.7 MBDr. 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
Episode 10: NIH Data Scholar Program at Fogarty and Radiology:AI Trainee Editorial Board
March 26, 2021 14:00 - 39 minutes - 31.7 MBDr. 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
Episode 9: AI in Global Radiology
February 26, 2021 15:00 - 37 minutes - 29.8 MBDr. 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
Episode 8: AI in Radiology Education
January 29, 2021 14:00 - 32 minutes - 22.5 MBDr. 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
Episode 7: Medical Imaging and Data Resource Center
January 01, 2021 15:00 - 28 minutes - 22.6 MBDr. 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
Episode 6: Radiology AI: Past, Present and Future
November 27, 2020 15:00 - 30 minutes - 24.4 MBDr. 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
Episode 5: Interview with Ian Pan, MD
October 30, 2020 14:00 - 27 minutes - 22.1 MBDr. 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
Episode 4: Interview with Dr. Curtis Langlotz
September 25, 2020 14:00 - 35 minutes - 28.2 MBDr. 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
Episode 3: 2019 RSNA Brain CT Hemorrhage Challenge
July 31, 2020 14:00 - 26 minutes - 36.8 MBDr. 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
Episode 3- 2019 RSNA Brain CT Hemorrhage Challenge
July 31, 2020 14:00 - 26 minutes - 36.8 MBDr. 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
Episode 2: Author and Reviewer Guide to CLAIM
May 29, 2020 14:00 - 27 minutes - 18.7 MBDr. 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
Episode 2- Author and Reviewer Guide to CLAIM
May 29, 2020 14:00 - 27 minutes - 18.7 MBDr. 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
Episode 1: Welcome to the Radiology: AI podcast
April 03, 2020 17:35 - 25 minutes - 34.8 MBDr. Paul Yi interviews Radiology: Artificial Intelligence Editor Charles E. Kahn, Jr., MD, MS. Introduction to the podcast by Dania Daye, MD, PhD
Episode 1 - Welcome to the Radiology: AI podcast
April 03, 2020 17:35 - 25 minutes - 34.8 MBDr. Paul Yi interviews Radiology: Artificial Intelligence Editor Charles E. Kahn, Jr., MD, MS. Introduction to the podcast by Dania Daye, MD, PhD
Welcome to the Radiology: AI podcast
April 03, 2020 17:35 - 25 minutes - 34.8 MBDr. Paul Yi interviews Radiology: Artificial Intelligence Editor Charles E. Kahn, Jr., MD, MS. Introduction to the podcast by Dania Daye, MD, PhD