Automating Radiology: The Impact of AI with Dr. Jason Adleberg

01/09/25 • 33 min

In this episode of Frame by Frame Rethink Imaging, host Chris Saint John is joined by Dr. Jason Adelberg, a radiology resident and AI researcher at Mount Sinai in New York City. Together, they explore the fascinating intersection of technology and medicine, discussing the challenges and innovations in radiology, the importance of patient safety, and how AI is reshaping the future of medical imaging. Tune in for insights that will inspire both professionals and curious minds alike!This episode is a fascinating exploration of how technology is reshaping the field of radiology, and Jason's insights provide a hopeful perspective on the future of medical imaging. Tune in to discover how AI can enhance patient care and the role of radiologists in this transformative era.Dr. Jason Adelberg is a radiology resident and AI researcher at Mount Sinai in New York City. With a background as a software engineer, Jason transitioned into medicine, discovering his passion for radiology during medical school. He has authored multiple papers on artificial intelligence and serves on the editorial board for the Radiology AI journal. Notably, he led a workshop at the Radiological Society of North America (RSNA) on building AI models without coding experience, which is also available on YouTube. In this episode, Jason shares his insights on the intersection of AI and radiology, emphasizing the importance of patient safety and the complexities of integrating technology into healthcare. His unique perspective as both a radiologist and AI developer positions him as a key voice in the ongoing conversation about the future of medical imaging and the role of AI in enhancing radiological practices.Chapters:

[00:00] Intro [00:02:50] The Journey from Tech to Radiology [00:10:20] AI as an Enhancer, Not a Replacement [00:12:49] Automating Tedious Tasks with AI [00:18:36] The Importance of Diverse Data in AI Training [00:24:00] Navigating Regulatory Challenges in AI [00:32:11] A Bright Future for AI in RadiologyFrame by Frame: Rethink Imaging Podcast is handcrafted by our friends over at: fame.so

Previous Episode

Rethinking Medical Imaging: Frame by Frame Holiday Special

In this special year-end episode of Frame by Frame: Rethink Imaging, host Chris St. John presents a carefully curated collection of the most profound and insightful conversations from 2024. The episode features seven distinguished voices who have helped shape the dialogue around medical imaging this year. From Dr. Tom Griglock's personal journey into medical physics to Dr. Ehsan Samei's philosophical take on the intersection of physics and medicine, each segment offers unique perspectives on the field's evolution.Listeners will hear crucial discussions about AI integration with Dr. Eliot Siegel, workflow optimization with James Armbruster, healthcare policy insights from Dr. Lee Fleisher, radiation safety wisdom from Dr. Donald Frush, and dose optimization strategies from Dr. David Larson. This compilation episode serves as both a retrospective of the year's most valuable insights and a forward-looking examination of where medical imaging is headed.Chapters:

00:00 - Introduction to Special Episode 01:00 - Dr. Tom Griglock on Medical Physics and Patient Care 06:00 - Dr. Ehsan Samei: Bridging Physics and Medicine 12:00 - James Armbruster: Workflow and Communication 18:00 - Dr. Eliot Siegel on AI's Future in Radiology 24:00 - Dr. Lee Fleisher: Healthcare Policy and Patient Advocacy 30:00 - Dr. Donald Frush: Radiation Safety Fundamentals 36:00 - Dr. David Larson: Dose Optimization Strategies 37:00 - Closing Thoughts and Looking AheadFrame by Frame: Rethink Imaging Podcast is handcrafted by our friends over at: fame.so

Next Episode

The Psychology Behind Radiologist Errors with Elizabeth Krupinski

In this episode of Frame by Frame: Rethink Imaging, host Chris St John welcomes Dr. Elizabeth Krupinski, a pioneering expert in the psychology of medical imaging and Vice Chair for Research in the Department of Radiology and Imaging Sciences at Emory University. This is Part 1 of a two-part series exploring how psychology intersects with radiology.
Dr. Krupinski's research delves into the cognitive and perceptual mechanisms that influence how radiologists interpret medical images. Her work is particularly relevant to the podcast's focus on the psychology behind radiologist errors, as she explores the challenges of burnout and the application of psychological principles to enhance both accuracy and well-being in radiology practice.
Notably, Dr. Krupinski has conducted extensive research on the impact of fatigue on diagnostic performance, revealing significant drops in accuracy after prolonged work hours. Her innovative studies and insights into the intersection of psychology and radiology make her a vital voice in understanding and improving the field.
Chapters:

[00:00] Intro [00:02:25] Chance Encounter with Radiology [00:07:17] Understanding Radiologist Errors [00:15:29] Impact of Fatigue on Diagnostic Performance [00:22:05] Environmental Factors in Radiology [00:25:03] Challenges of Remote Reading [00:33:59] Innovative Training TechniquesFrame by Frame: Rethink Imaging Podcast is handcrafted by our friends over at: fame.so