Transistor (https://transistor.fm) https://feeds.transistor.fm/eye-on-ai Eye on AI is an Applied Radiology podcast series exploring how artificial intelligence is advancing medical imaging and addressing the practical needs of today’s imaging professionals. Through conversations with clinical experts and industry leaders, the series highlights real-world applications of AI and the technologies shaping the future of imaging. Anderson Publishing, Ltd. 85952c16-4f8f-5dd2-9b3b-e153c0d51d8e yes en Wed, 07 Oct 2026 13:48:17 -0400 Wed, 07 Oct 2026 13:49:51 -0400 https://img.transistorcdn.com/Z9jDO3L1zO5_0LCSXAyyYfQGY26EI_rU4DRjw0wXqiQ/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9iNzlj/ZWY2YzExOTA1M2Vk/NDcwMzg4MTRiYjk3/NzU3Zi5wbmc.jpg episodic Applied Radiology Eye on AI is an Applied Radiology podcast series exploring how artificial intelligence is advancing medical imaging and addressing the practical needs of today’s imaging professionals. Through conversations with clinical experts and industry leaders, the series highlights real-world applications of AI and the technologies shaping the future of imaging. Eye on AI is an Applied Radiology podcast series exploring how artificial intelligence is advancing medical imaging and addressing the practical needs of today’s imaging professionals. Artificial Intelligence, AI, Radiology, Medical Imaging Anderson Publishing, Ltd. No No 1 1 MRI as a Longitudinal Tool for Personalized Care full 30569bd3-a384-4b32-8192-77ec4773a2a0 https://share.transistor.fm/s/d84e8daa In this episode of Eye on AI, Applied Radiology explores how artificial intelligence could transform MRI from a single snapshot in time into a longitudinal tool for tracking changes in a patient’s health. Sean Raj, MD, of SimonMed Imaging, and Jina Park, PharmD, MS, of AIRS Medical discuss the importance of standardized, reproducible imaging across scanners and sites, the role of AI in creating more consistent and comparable MRI data, and the potential for longitudinal imaging to support earlier detection, prevention, and more personalized care.

]]> In this episode of Eye on AI, Applied Radiology explores how artificial intelligence could transform MRI from a single snapshot in time into a longitudinal tool for tracking changes in a patient’s health. Sean Raj, MD, of SimonMed Imaging, and Jina Park, PharmD, MS, of AIRS Medical discuss the importance of standardized, reproducible imaging across scanners and sites, the role of AI in creating more consistent and comparable MRI data, and the potential for longitudinal imaging to support earlier detection, prevention, and more personalized care.

]]> Tue, 06 Oct 2026 12:25:45 -0400 Applied Radiology Applied Radiology 1193 In this episode of Eye on AI, Applied Radiology explores how artificial intelligence could transform MRI from a single snapshot in time into a longitudinal tool for tracking changes in a patient’s health. Sean Raj, MD, of SimonMed Imaging, and Jina Park, PharmD, MS, of AIRS Medical discuss the importance of standardized, reproducible imaging across scanners and sites, the role of AI in creating more consistent and comparable MRI data, and the potential for longitudinal imaging to support earlier detection, prevention, and more personalized care.

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