Radiology AI Podcasts | RSNA

Episode 48: Standardizing LLM Research in Radiology- Part 2 Oct 11, 2024

Dr. Ali Tejani and Dr. Paul Yi discuss the current state of large language model (LLM) research and its applications in radiology with their guests Dr. Merel Huisman, Dr. Tugba Akinci D'Antonoli, and Dr. Christian Bluethgen. They explore the rapid evolution of this field, including the surge in publications and the diverse use cases being explored.

A New Era of Text Mining in Radiology with Privacy-Preserving LLMs. Akinci D'Antonoli and Bluethgen. Radiology: Artificial Intelligence 2024; 6(4):e240261.

The AI Generalization Gap: One Size Does Not Fit All. Huisman and Hannink. Radiology: Artificial Intelligence 2023; 5(5):e230246.

Episode 47: Standardizing LLM Research in Radiology- Part 1 Sep 13, 2024

Dr. Ali Tejani and Dr. Paul Yi discuss the current state of large language model (LLM) research and its applications in radiology with their guests Dr. Merel Huisman, Dr. Tugba Akinci D'Antonoli, and Dr. Christian Bluethgen. They explore the rapid evolution of this field, including the surge in publications and the diverse use cases being explored.

A New Era of Text Mining in Radiology with Privacy-Preserving LLMs. Akinci D'Antonoli and Bluethgen. Radiology: Artificial Intelligence 2024; 6(4):e240261.

The AI Generalization Gap: One Size Does Not Fit All. Huisman and Hannink. Radiology: Artificial Intelligence 2023; 5(5):e230246.

Episode 46: Reviewing LLM Articles Jul 31, 2024

Host Dr. Ali Tenjani speaks with Dr. Christian Bluethgen about his experience reviewing papers on large language models. Stay tuned to hear more from Dr. Bluethgen in future episodes.

Episode 45: Data Resources Initiative - Part 2 Jun 28, 2024

Picking up where part 1 left off, Dr. Ali Tejani and Dr. Paul Yi speak with Dr. Bardia Khosravi to learn more about the journal’s latest Date Resource initiative.

Episode 44: Data Resources Initiative - Part 1 Jun 14, 2024

Dr. Ali Tejani and Dr. Paul Yi speak with Dr. Bardia Khosravi to learn more about the journal’s latest Data Resource initiative.

Episode 43: AI for Opportunistic Imaging - Part 2 Apr 26, 2024

Dr. 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

Episode 42: AI for Opportunistic Imaging - Part 1 Mar 29, 2024

Dr. 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

Episode 41: Interview with Dr. Charles Kahn Mar 01, 2024

Co-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

Episode 40: A Year in Review for Radiology AI 2023 Jan 26, 2024

Co-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

Episode 39: Radiology: AI RSNA2023 Fireside Chat LIVE Jan 02, 2024

Live recording of the RSNA 2023 Fireside chat hosted by Paul Yi and Ali Tejani

Episode 38: TotalSegmentator Nov 17, 2023

Co-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

Episode 37: Models to Automate Estimation of Myelin Maturity Oct 27, 2023

Co-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.

Episode 36: Algorithmic Fairness in Machine Learning Sep 29, 2023

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

Episode 35: Sustainability in AI - Part 2 Sep 15, 2023

Drs. Paul Yi and Ali Tejani speak with Dr. Florence Doo, the Director of Innovation University of Maryland Medical Center, about Sustainability in AI.

Episode 34: Sustainability in AI - Part 1 Sep 01, 2023

Drs. Paul Yi and Ali Tejani speak with Dr. Florence Doo, the Director of Innovation University of Maryland Medical Center, about Sustainability in AI.

Episode 33: Roundtable Discussion Series - Generative AI - Part 2 Jul 28, 2023

Drs. Paul Yi and Ali Tejani host a roundtable discussion with Drs. Felipe Kitamura and Bardia Khosravi about Generative AI.

Episode 32: Roundtable Discussion Series - Generative AI - Part 1 Jun 30, 2023

Drs. Paul Yi and Ali Tejani host a roundtable discussion with Drs. Felipe Kitamura and Bardia Khosravi about Generative AI.

Episode 31: Breast Imaging Datasets (EmBED) - Part 2 Jun 02, 2023

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.

Episode 30: Breast Imaging Datasets (EmBED) - Part 1 May 31, 2023

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.

Episode 29: Weakly-Supervised Learning for Global, Examination Labels and Code-Sharing Practices- Part 2 Apr 07, 2023

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.

Episode 28: Weakly-Supervised Learning for Global, Examination Labels and Code-Sharing Practices- Part 1 Mar 17, 2023

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.

Episode 27: ChatGPT- Special Radiology Podcast Collaboration Feb 21, 2023

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

Episode 26: Trainee Editorial Board Experience Jan 27, 2023

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.

Episode 25: Radiology: AI RSNA2022 Fireside Chat LIVE Dec 31, 2022

Live recording of the RSNA 2022 Fireside chat hosted by Paul Yi and Ali Tejani

Episode 24: Radiology: AI Roundtable - Starting an AI Research Lab Nov 17, 2022

Ali 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 Oct 07, 2022

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

Episode 22: Re-Release Interview with Kaggle Grandmaster Ian Pan, MD Sep 09, 2022

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

Episode 21: Radiology-AI Software Developer & Real World Clinical Deployment of AI for Kidney Cyst Segmentation Jul 15, 2022

Radiology: 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 Jun 17, 2022

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

Episode 19: Radiology: AI Journal Reflections and Social Media Team Update Apr 29, 2022

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.

Episode 18: RSNA Fireside Chat Jan 21, 2022

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.

Episode 17:Impact of Medical Image Processing on Downstream AI Performance Nov 12, 2021

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