Commentary|Videos|February 25, 2026

Assessing the Potential Impact of Agentic AI in Radiology: An Interview with Nina Kottler, MD

Name: Assessing the Potential Impact of Agentic AI in Radiology: An Interview with Nina Kottler, MD
Uploaded: 2026-02-25T11:26:00Z
Duration: 17 min 2 s
Description: In a recent interview, Nina Kottler, M.D., discussed the agility of agentic AI to achieve system-level goals in radiology, the need for transparency and how agentic AI may affect the future of radiology.

Author(s)Jeff Hall

In a recent interview, Nina Kottler, M.D., discussed the agility of agentic AI to achieve system-level goals in radiology, the need for transparency and how agentic AI may affect the future of radiology.

While convolutional neural networks, multimodal AI and large language models have dominated the discourse thus far with the evolution of AI in radiology, agentic AI represents more of an adaptive system-level approach to achieving goals, according to Nina Kottler, M.D., MS, FSIIM, FAIM.