Amid the burgeoning imaging volumes and ongoing radiologist shortage, this author suggests that more active involvement by radiologists in the creation and development of AI models could go a long way.
Commentary|Videos|February 25, 2026
Assessing the Potential Impact of Agentic AI in Radiology: An Interview with Nina Kottler, MD
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.
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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.
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