The real reason healthcare AI stalls | 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.

Artem Trotsyuk is a bioengineer and computer scientist specializing in AI implementation and organizational scaling in healthcare and technology environments. He serves as an AI Research Fellow at Stanford University’s Department of Genetics, where his work focuses on evaluating AI systems in biomedicine and designing scalable AI workflows.

He holds a PhD in Bioengineering and a Master’s in Computer Science (AI specialization) from Stanford, where his research centered on AI-powered medical devices and real-time health systems. His experience spans AI strategy, deployment, and system design—working across startups, enterprises, and research institutions to bring AI from concept to production.