#USA #Chicago #United Imaging #AI Agents #RSNA 2025

Introduction

The 2025 Radiological Society of North America (RSNA) congress, themed around personalized imaging, has evolved into a platform that challenges the radiology community to bridge the gap between personalized care demands and global health disparities. United Imaging Intelligence (UII), a subsidiary dedicated to AI, posed a thought-provoking question during this event: "Do radiologist AI agents truly exist?" This instigated a dive into a new generation of AI agents designed to understand, reason, and take proactive steps throughout the healthcare journey, improving accessibility and accuracy in patient care.

The Evolution of AI in Radiology

At this year’s congress, UII unveiled its latest AI agent, uAI Insight, which seamlessly integrates clinical reasoning into diagnostic workflows. This cutting-edge tool garnered significant interest from attendees globally, showcasing how AI can streamline diagnostic processes by delivering precise reports efficiently. Utilizing UII's advanced multimodal models, capable of interpreting language, vision, and auditory inputs, uAI Insight is adept at identifying complex patterns and correlating findings to generate structured reports that offer clarity.

One standout feature of the uAI agent is its thoracic scan reporting tool, which can detect 73 different pulmonary diseases from a single scan, achieving an impressive mean area under the curve (AUC) of 95%. Simultaneously, the brain MRI reporting capability has successfully identified 47 neurological conditions from one scan, marking a significant leap towards facilitating smarter, human-AI collaborative diagnostic tasks.

The Launch of Robotic AI Agents

The 2025 RSNA congress also featured the debut of uAI for ultrasound, which is an autonomous robotic arm integrated with AI for enhanced scanning and diagnosis. This intelligent agent interprets real-time visual, tactile, and pressure signals to adjust the probe's positioning and force dynamically, providing a more comfortable, personalized experience for patients during examinations.

A Unified Ecosystem of Intelligence

Visitors to the UII booth experienced firsthand the integration of AI agents throughout the clinical workflow. The uAI Avatar, a smart medical assistant, facilitated a natural conversational pre-diagnostic journey for attendees. While the hospital management agent monitored imaging quality and report accuracy, assessed equipment performance, and transformed complex operational data into actionable insights.

These advancements illustrate UII's vision of a digitally smart hospital. Built upon UII's comprehensive medical multimodal models and bolstered by years of clinical collaboration, this vision encapsulates an evolving ecosystem where digital and intelligent technologies reshape infrastructure, software development, and operational models. These frameworks enable AI agents to analyze, reason, and make informed decisions while embodied AI translates this intelligence into tangible actions and natural human interactions. The result is a hospital environment that continuously learns, adapts, and evolves throughout every stage of patient care.

A Fundamental Shift in Medical AI

The highlights of RSNA 2025 showcased a fundamental transformation in the realm of medical AI. The focus has shifted from traditional algorithms towards a new era of collaborative and autonomous AI agents, capable of responding, adapting, and collaborating effectively. Leading this expanding ecosystem, UII is driving industrial innovation towards smarter, virtualized, comprehensive, and personalized healthcare solutions. It's noteworthy that the products and features discussed may not be universally available, and future availability is not guaranteed. All AI applications featured are not necessarily CE marked or FDA approved.

Conclusion

The advancements and innovative solutions highlighted by United Imaging Intelligence at RSNA 2025 point to a promising future for radiology. As the medical field integrates more AI technology, we can expect a marked improvement in personalized and efficient patient care, setting a new standard for healthcare.