ECG-WM: A Physiology-Informed ECG World Model for Clinical Intervention Simulation
The ECG World Model (ECG-WM) is a new framework designed to enhance the predictive simulation of cardiac electrophysiology under various clinical interventions. It integrates physiological ordinary differential equation priors with latent diffusion dynamics to create more accurate ECG trajectories post-intervention. This model aims to improve clinical decision support by providing a reliable assessment of expected risks associated with different treatment options.
- ▪The ECG-WM framework addresses limitations in existing ECG-based models that primarily focus on static predictions.
- ▪It incorporates physiological principles to synthesize realistic ECG responses to interventions.
- ▪The model has been evaluated in both controlled drug-response scenarios and real-world clinical records.
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| Original publisher | arXiv cs.AI |
| Canonical URL | https://arxiv.org/abs/2605.17580 |
| Publication time | Tue, 19 May 2026 00:00:00 -0400 |
| Retrieval time | 2026-05-19T04:04:57.272Z |
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Computer Science > Artificial Intelligence arXiv:2605.17580 (cs) [Submitted on 17 May 2026] Title:ECG-WM: A Physiology-Informed ECG World Model for Clinical Intervention Simulation Authors:Zhikang Chen, Yue Wang, Sen Cui, Yu Zhang, Changshui Zhang, Tianling Ren, Tingting Zhu View a PDF of the paper titled ECG-WM: A Physiology-Informed ECG World Model for Clinical Intervention Simulation, by Zhikang Chen and 6 other authors View PDF HTML (experimental) Abstract:Electrocardiogram (ECG)-based models have achieved strong performance in diagnostic tasks, yet they remain limited in modeling how cardiac dynamics evolve under external interventions.
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