Demystifying AI in Clinical Practice

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

Creators and Guests

Host
Avishkar (Avi) Sharma, MD, CIIP
Host
Lawrence Tanenbaum, MD
Guest
Greg Sorensen

What is Demystifying AI in Clinical Practice?

Short one-on-one conversations with practicing radiologists and industry experts on how and where AI is being used in clinical practice today.