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Automating Radiology: The Impact of AI with Dr. Jason Adleberg
Manage episode 460199425 series 3601161
Contenido proporcionado por Chris St. John. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Chris St. John o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
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 Radiology
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