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Season 2 • Episode 2

Imaging aided prevention | Radiology Rewired

Episode overview

AI is accelerating MRI, moving imaging upstream into prevention, and catching disease years before symptoms. In this episode of Radiology Rewired, Dr. Dan Sodickson, a pioneer of parallel imaging and modern MRI, explains his take on imaging's evolving role in patient care.

After nearly two decades leading imaging research at NYU Langone, Dr. Sodickson is now Chief Medical Scientist at Function Health, tackling a different question: what happens when radiology's most powerful tools are used before disease rears its head, not after?

We get into the ideas reshaping the future of imaging: how AI is compressing 20-minute MRI scans into a single minute, why "scanners with memory" could make follow-up imaging faster and cheaper, how combining MRI with blood work and prior scans can detect cancer years before symptoms, and why Dr. Sodickson believes faster, more accessible imaging is inevitable.

About the host

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Vivek Singh, MD
Neuroradiologist, MUSC

Dr. Singh is a board-certified neuroradiologist and assistant professor at MUSC, where he completed his diagnostic radiology residency and neuroradiology fellowship, serving as chief resident in his final year. His expertise spans the full spectrum of diagnostic imaging, with a strong interest in stroke and brain tumor imaging, while also regularly interpreting general studies and performing a range of image-guided procedures.

A graduate of the Virginia Tech Carilion School of Medicine with dual undergraduate degrees in Human Nutrition and Biochemistry from Virginia Tech, Dr. Singh developed a deep interest in AI during training. He focuses on how AI can improve early disease detection, expand therapeutic imaging, enhance screening programs, and triage critical findings. He is particularly interested in the evolving role of radiologists as information integrators, combining AI insights with imaging, genomics, and clinical data to guide diagnosis and treatment.

About the guest

Dr-Dan-Sodickson_headshot
Dan Sodickson, MD, PhD
Chief Medical Scientist, Function Health

Dr. Dan Sodickson is a radiologist, physicist, and biomedical engineer focused on advancing imaging technology and building a more proactive, prevention-driven model of healthcare.He currently serves as Chief Medical Scientist at Function Health and previously spent nearly two decades at NYU Grossman School of Medicine, where he held multiple leadership roles including Chief of Innovation in the Department of Radiology and Vice Chair for Research. He also led the Center for Advanced Imaging Innovation and Research (CAI2R), one of the leading imaging research centers in the country.Dr. Sodickson’s work spans MRI innovation, AI integration, and next-generation care models, with a focus on shifting healthcare from reactive diagnosis to earlier detection and prevention. He has also been directly involved in advancing consumer-facing imaging approaches, giving him a unique perspective on how new care delivery models intersect with clinical practice, technology, and emerging legal risk.His background across clinical radiology, advanced imaging research, and healthcare innovation positions him at the center of conversations around how AI and consumer imaging are reshaping expectations, accountability, and the future standard of care.He is now the Chief Medical Scientist at Function Health, a healthcare technology company that provides customers with comprehensive lab testing and imaging services to help catch potential health issues early.