AI in Radiology: Isolated Algorithms to Scalable Clinical Impact

AI Takes Radiology from Diagnosis to Prevention

From the Applied Radiology booth at RSNA, one theme surfaced repeatedly across conversations: artificial intelligence is no longer just about reading images faster—it is reshaping how radiology contributes to patient care, access, and population health. That message came through clearly during a live discussion between Kieran Anderson, Group Publisher at Applied Radiology, and Suzie Bash, MD, neuroradiologist and Medical Director at RadNet.

Quantitative Imaging Redefines Value in Neuroradiology

From the Applied Radiology booth at RSNA, one of the most technically rich—and clinically consequential—conversations focused on the evolving role of quantitative imaging in neuroradiology. In a live discussion, Lawrence Tanenbaum, MD sat down with Suzie Bash, MD to examine how volumetric and quantitative tools are reshaping diagnosis, longitudinal surveillance, and treatment decision-making.

AI in Radiology: Isolated Algorithms to Scalable Clinical Impact

Artificial intelligence in radiology is often discussed in broad, aspirational terms, but far less attention is paid to what happens after algorithms are cleared, purchased, and deployed. In a recent discussion hosted by Applied Radiology, experts examined how AI is being implemented at scale and what it takes to translate technical capability into meaningful clinical impact. During the conversation, Avi Sharma, MD, host of Applied Radiology’s AI Podcast was joined by co-host Lawrence Tanenbaum, MD, and Greg Sorenson, MD, Chief Science Officer at RadNet, and, to explore how AI moves from isolated tools to enterprise-level infrastructure. The discussion focused less on individual algorithms and more on workflow, adoption, and sustainability in real-world imaging environments

Foundation Models Emerge as the “Electricity” of Radiology AI

Fans of the PBS television series Downton Abbey, set in early 20th-century England, witnessed the far-reaching effects of the Second Industrial Revolution—particularly innovations in electricity, mechanization, and communication—on the lives of its characters. What fueled this all-encompassing change, and what does it have in common with artificial intelligence in health care?  During a discussion with Nina Kottler, MD, Chief Medical AI Officer at Mosaic Clinical Technologies, Lawrence Tanenbaum, MD, raised the comparison as a way to describe how foundational technologies perhaps, not so quietly, reshape professional life

AI in Neuro Imaging | Before, During, & Post Imaging

Dr. Avi Sharma sits down with Dr. Suzie Bash to discuss her use of AI in clinical practice as it relates to managing patients with Alzheimer disease.