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A Retrieval-Augmented Generation (RAG) Artificial Intelligence (AI) Agent was developed to accurately, reliably, and quickly address queries and prompts that pertain to regulatory and accreditation compliance, specific to the use...

This work develops an agentic AI framework that bridges the gap between state-of-the-art tumor segmentation models and clinical deployment, where model discovery, data preprocessing, and output QA remain time-intensive and requir...

VMAT total body irradiation (TBI) planning is complex and time-intensive, involving multiple isocenters, junction management, and iterative hotspot control. Many automation approaches still require repeated user interaction, limi...