
In a new podcast episode, Joseph Cavallo, MD, MBA, offered his perspective on AI integration, potential efficiency gains, navigating post-deployment monitoring and how to incorporate AI literacy into radiology resident training.
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.





