AortaGPT: An Interactive Vision-Language System for Aortic Image Analysis

초록

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.

인용

@misc{ates2026aortagpt,
  title  = {{AortaGPT: An Interactive Vision-Language System for Aortic Image Analysis}},
  author = {Gorkem Can Ates and Chang Wang and Harrison Chojnowski and Yu Xin and Hongxu Jiang and Walker R. Ueland and Muhammad Imran and Michael J. Fassler and Brian Fazzone and Jonathan Krebs and Griffin Stinson and Gilbert R. Upchurch Jr. and Philip J. Hess Jr. and Chang Zhao and Ruogu Fang and Michol A. Cooper and Wei Shao},
  year   = {2026},
  note   = {Under Review},
}