ECG-WM: A Physiology-Informed ECG World Model for Clinical Intervention Simulation
cs.AI
Submitted: 2026-05-17
Updated: 2026-10-03
Project page: https://chenzk202212.github.io/ECG_World_Model
Terminology
Sources
- GPT-4 Technical Report
- From Generative Engines to Actionable Simulators: The Imperative of Physical Grounding in World Models
- ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools
- Ctrl-World: A Controllable Generative World Model for Robot Manipulation
- World Models
- GPT-4o System Card
- PIN-WM: Learning Physics-INformed World Models for Non-Prehensile Manipulation
- TTS-CGAN: A Transformer Time-Series Conditional GAN for Biosignal Data Augmentation
- MedGemma Technical Report
- MM-DADM: Multimodal Drug-Aware Diffusion Model for Virtual Clinical Trials
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling
- VCWorld: A Biological World Model for Virtual Cell Simulation
- ECG-MoE: Mixture-of-Expert Electrocardiogram Foundation Model
- Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning
- 3D-VLA: A 3D Vision-Language-Action Generative World Model
- HERMES: A Unified Self-Driving World Model for Simultaneous 3D Scene Understanding and Generation
Related papers
- MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
- Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
- Agents' Last Exam
- The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
- MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
- Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems