In this AI-generated episode of Radiology AI Papers in a Capsule , we discuss a study that extends the NeuroHarmony AI model to address scanner variability in brain MRI for Alzheimer’s disease assessment. Learn how incorporating cognitive status into harmonization may improve the reliability of quantitative imaging across diverse clinical settings. A Machine Learning Model to Harmonize Volumetric BrainMRI Data for Quantitative Neuroradiologic Assessment ofAlzheimer Disease. Archetti and Venkatra...
May 30, 2025•12 min
Dr. Dana Alkhulaifat explores how mentorship can inspire and guide the next generation of leaders in radiology and imaging informatics. Guests Dr. Tessa Cook and Satvik Tripathi share insights on building awareness, creating opportunities, and the impact of strong mentor-mentee relationships.
May 23, 2025•21 min
Dr. Jason Adelberg talks with Dr. John Stewart about how he built rScriptor, a radiology dictation tool, from a personal side project into a widely adopted software product. Dr. Stewart shares lessons on entrepreneurship, product development, and how radiologists can turn their own ideas into real businesses.
Apr 25, 2025•32 min
In this episode, hosts Dr. Cody Savage and Dr. Ali Tejani speak with Dr. Pranav Rajpurkar and Dr. Michael Moritz about the future of AI in radiology, from research breakthroughs to real-world implementation. They discuss building AI models that detect every disease, the challenges of integrating AI into clinical workflows, and the entrepreneurial journey of bringing cutting-edge technology to medical imaging.
Mar 25, 2025•43 min
Join hosts Dr. Paul Yi and Dr. Ali Tejani as they welcome new team members Dr. Bardia Khosravi and Dr. Cody Savage to discuss the rise of AI-generated podcasts and their impact on radiology education. From Google’s Notebook LM to the challenges of AI hallucinations, they explore the future of automated content creation and what it means for the Radiology Artificial Intelligence Podcast.
Feb 25, 2025•24 min
In this AI-generated episode of Radiology AI Papers in a Capsule , we explore a groundbreaking study on AI-integrated mammography screening. This research, conducted by Elhakim and colleagues from Odense University Hospital, examines how artificial intelligence can optimize screening workflows while maintaining diagnostic accuracy. We break down the study’s three integration scenarios, their impact on workload reduction, and the clinical significance of AI-assisted double reading. Tune in for an...
Jan 31, 2025•6 min
Live recording of the RSNA 2024 Fireside chat hosted by Drs. Paul Yi and Ali Tejani of the Radiology: Artificial Intelligence podcast. This AI Fireside chat was an informal discussion with some of the leaders, movers, and shakers in the field of AI in radiology. This session was recording at RSNA AI Theater for an intimate and storied time of reflection on the year’s developments in AI, discussion about where the field is moving, and lively debate over controversial topics relevant to radiology,...
Jan 16, 2025•57 min
Dr. Ali Tejani and Dr. Paul Yi preview RSNA 2024 with Dr. Charles Kahn, Editor-in-Chief of Radiology AI . They discuss key highlights from the past year, including the updated CLAIM guidelines, innovative AI tools, and upcoming sessions at RSNA2024.
Nov 21, 2024•30 min
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):e2...
Oct 11, 2024•37 min
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):e2...
Sep 13, 2024•28 min
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.
Jul 31, 2024•11 min
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.
Jun 28, 2024•13 min
Dr. Ali Tejani and Dr. Paul Yi speak with Dr. Bardia Khosravi to learn more about the journal’s latest Data Resource initiative.
Jun 14, 2024•16 min
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
Apr 26, 2024•22 min
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
Mar 29, 2024•22 min
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
Mar 01, 2024•16 min
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
Jan 26, 2024•34 min
Live recording of the RSNA 2023 Fireside chat hosted by Paul Yi and Ali Tejani
Jan 02, 2024•52 min
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
Nov 17, 2023•18 min
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.
Oct 27, 2023•25 min
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 29, 2023•21 min
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 15, 2023•17 min
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 01, 2023•13 min
Drs. Paul Yi and Ali Tejani host a roundtable discussion with Drs. Felipe Kitamura and Bardia Khosravi about Generative AI.
Jul 28, 2023•22 min
Drs. Paul Yi and Ali Tejani host a roundtable discussion with Drs. Felipe Kitamura and Bardia Khosravi about Generative AI.
Jun 30, 2023•16 min
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.
Jun 02, 2023•26 min
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•23 min
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.
Apr 07, 2023•27 min
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•20 min
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...
Feb 21, 2023•49 min
