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AortaGPT: An Interactive Vision-Language System for Aortic Image Analysis
Gorkem Can Ates, Chang Wang, Harrison Chojnowski, Yu Xin, Hongxu Jiang, Walker R. Ueland, Muhammad Imran, Michael J. Fassler, Brian Fazzone, Jonathan Krebs, Griffin Stinson, Gilbert R. Upchurch Jr., Philip J. Hess Jr., Chang Zhao, Ruogu Fang, Michol A. Cooper, Wei Shao Under Review 2026
Abstract
Accurate aortic diameter measurement is essential for risk stratification and surgical planning. AortaGPT is the first interactive vision-language system that enables clinicians to perform complex image processing, quantitative analysis, and reporting tasks through natural-language prompts. It integrates super-resolution, zone-based segmentation, and automated diameter measurement within a unified conversational interface, orchestrated by a LangGraph-based controller that enforces dependency-aware execution and supports multi-turn interaction.
medical imaging vision-language aorta segmentation LLM