ATRIA: Adaptive Traceable ECG Reporting with Iterative Agents

A new multi-agent system called ATRIA restructures electrocardiogram reporting to match the iterative, evidence-bound workflow of a clinician, according to a paper posted on the arXiv preprint server [1]. The system, detailed by Yong-Yeon Jo and colleagues, departs from conventional ECG report generators that fuse interpretation and reporting into a single end-to-end process. In those older designs, errors propagate without stage-level recourse, and agent-based alternatives have remained single-pass, never revisiting earlier outputs [1]. ATRIA instead binds every claim in a report to its supporting evidence, flags statements that lack evidential backing, and allows clinicians to incorporate additional context mid-session [1]. Clinicians can verify and revise individual findings rather than accepting one opaque output [1]. Because ATRIA’s agents rely on ECG analysis models already in clinical use, the underlying findings are clinically trustworthy, the authors state [1]. The system is built as a cloud-based web service, which the paper describes as ready for immediate deployment [1]. The preprint presents four interaction cases and points to a live demo and video [1]. The paper appeared on arXiv, an open-access repository that hosts electronic preprints across mathematics, physics, computer science, and related fields [6]. arXiv does not peer-review submissions but moderates them before posting [6]. As of November 2024, the repository was receiving about 24,000 articles per month and had surpassed two million total articles by the end of 2021 [6]. The ATRIA preprint was submitted on June 23, 2026 [1]. arXiv also operates arXivLabs, a framework that lets community collaborators build experimental tools directly on the platform [4]. The initiative sets guidelines ensuring that partners share arXiv’s values of openness, community, excellence, and user-data privacy [4]. Current arXivLabs projects include a Bibliographic Explorer that maps citation trees, a CORE Recommender that surfaces related open-access papers, and tools linking papers to code repositories [5]. The ATRIA abstract page displays several of these Labs integrations, including Bibliographic Explorer and Connected Papers [1].