The new radiology operating model | Radiology Rewired

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.

Dr. Ryan Harvey is a practicing radiologist and President of Radiology Associates of Florida, one of the largest practices within Radiology Partners. In this role, he leads clinical operations across a high-volume, multi-site radiology group while actively practicing on the front lines. Dr. Harvey brings a ground-level perspective on how AI is reshaping radiology workflows, having experienced its evolution from early natural language processing tools to today’s integrated, platform-based systems. He has been directly involved in evaluating and implementing AI applications within clinical practice, as well as contributing to early development and feedback through Radiology Partners’ Mosaic Physician Support Board. His perspective focuses on how AI is impacting radiologists' day-to-day—including workflow efficiency, productivity expectations, and the broader economic implications for both physicians and health systems. He is also actively engaged in patient-facing discussions around AI, including community education on how emerging technologies may shape the patient experience.