EchoAgent: Guideline-Centric Reasoning Agent for Echocardiography Measurement and Interpretation

• URL: http://arxiv.org/abs/2511.13948v1
• Date: Mon, 17 Nov 2025 22:06:12 GMT
• Title: EchoAgent: Guideline-Centric Reasoning Agent for Echocardiography Measurement and Interpretation
• Authors: Matin Daghyani, Lyuyang Wang, Nima Hashemi, Bassant Medhat, Baraa Abdelsamad, Eros Rojas Velez, XiaoXiao Li, Michael Y. C. Tsang, Christina Luong, Teresa S. M. Tsang, Purang Abolmaesumi,
• Abstract summary: EchoAgent is a framework that enables structured, interpretable automation for echocardiographic video analysis.<n>It orchestrates specialized vision tools under Large Language Model (LLM) control to perform temporal localization, spatial measurement, and clinical interpretation.<n>It achieves accurate, interpretable results despite added complexity oftemporal video analysis.
• Score: 23.197431495208672
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: Purpose: Echocardiographic interpretation requires video-level reasoning and guideline-based measurement analysis, which current deep learning models for cardiac ultrasound do not support. We present EchoAgent, a framework that enables structured, interpretable automation for this domain. Methods: EchoAgent orchestrates specialized vision tools under Large Language Model (LLM) control to perform temporal localization, spatial measurement, and clinical interpretation. A key contribution is a measurement-feasibility prediction model that determines whether anatomical structures are reliably measurable in each frame, enabling autonomous tool selection. We curated a benchmark of diverse, clinically validated video-query pairs for evaluation. Results: EchoAgent achieves accurate, interpretable results despite added complexity of spatiotemporal video analysis. Outputs are grounded in visual evidence and clinical guidelines, supporting transparency and traceability. Conclusion: This work demonstrates the feasibility of agentic, guideline-aligned reasoning for echocardiographic video analysis, enabled by task-specific tools and full video-level automation. EchoAgent sets a new direction for trustworthy AI in cardiac ultrasound.

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