Rishi Nayyar, the Co-Founder and CEO of PocketHealth, discusses the significant role of agentic AI in transforming radiology, which is poised to become the first operational layer for this technology in hospitals. Radiology is uniquely positioned due to its high operational demands and readiness for technology, making it an ideal testing ground for AI solutions. The complexity of radiology workflows, exacerbated by numerous exceptions and external orders, highlights the inefficiencies of current systems, such as high volumes of phone calls for scheduling. Traditional automation falls short in addressing the unique intricacies of radiology, indicating a strong need for adaptable AI that can interpret diverse inputs, manage exceptions, and streamline processes. By proving itself in radiology, agentic AI could set a precedent for broader applications across healthcare systems, ultimately enhancing operational efficiency and patient care.
Fri, 13 Mar 2026 14:06:03 GMT | Healthcare IT Today