CARE-ECG: Causal Agent-based Reasoning for Explainable and Counterfactual ECG Interpretation
Fuente:
arXiv
Saved in:
| Main Authors: | Khatibi, Elahe, Wang, Ziyu, Sharma, Ankita, Chakrabarty, Krishnendu, Moosavi, Sanaz Rahimi, Firouzi, Farshad, Rahmani, Amir |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Membership Inference Attacks Expose Participation Privacy in ECG Foundation Encoders
by: Wang, Ziyu, et al.
Published: (2026)
by: Wang, Ziyu, et al.
Published: (2026)
Linkage Attacks Expose Identity Risks in Public ECG Data Sharing
by: Wang, Ziyu, et al.
Published: (2025)
by: Wang, Ziyu, et al.
Published: (2025)
TransECG: Leveraging Transformers for Explainable ECG Re-identification Risk Analysis
by: Wang, Ziyu, et al.
Published: (2025)
by: Wang, Ziyu, et al.
Published: (2025)
Defending Against Gradient Inversion Attacks for Biomedical Images via Learnable Data Perturbation
by: Jiang, Shiyi, et al.
Published: (2025)
by: Jiang, Shiyi, et al.
Published: (2025)
ECG Unveiled: Analysis of Client Re-identification Risks in Real-World ECG Datasets
by: Wang, Ziyu, et al.
Published: (2024)
by: Wang, Ziyu, et al.
Published: (2024)
PerCaM-Health: Personalized Dynamic Causal Graphs for Healthcare Reasoning
by: Khatibi, Elahe, et al.
Published: (2026)
by: Khatibi, Elahe, et al.
Published: (2026)
ALCM: Autonomous LLM-Augmented Causal Discovery Framework
by: Khatibi, Elahe, et al.
Published: (2024)
by: Khatibi, Elahe, et al.
Published: (2024)
SPICED: Syntactical Bug and Trojan Pattern Identification in A/MS Circuits using LLM-Enhanced Detection
by: Chaudhuri, Jayeeta, et al.
Published: (2024)
by: Chaudhuri, Jayeeta, et al.
Published: (2024)
CDF-RAG: Causal Dynamic Feedback for Adaptive Retrieval-Augmented Generation
by: Khatibi, Elahe, et al.
Published: (2025)
by: Khatibi, Elahe, et al.
Published: (2025)
MedCoT-RAG: Causal Chain-of-Thought RAG for Medical Question Answering
by: Wang, Ziyu, et al.
Published: (2025)
by: Wang, Ziyu, et al.
Published: (2025)
Evaluating Causal Discovery Algorithms for Path-Specific Fairness and Utility in Healthcare
by: Nagesh, Nitish, et al.
Published: (2026)
by: Nagesh, Nitish, et al.
Published: (2026)
ExECG: An Explainable AI Framework for ECG models
by: Jang, Jong-Hwan, et al.
Published: (2026)
by: Jang, Jong-Hwan, et al.
Published: (2026)
ECG-Reasoning-Benchmark: A Benchmark for Evaluating Clinical Reasoning Capabilities in ECG Interpretation
by: Oh, Jungwoo, et al.
Published: (2026)
by: Oh, Jungwoo, et al.
Published: (2026)
Dynamic Prototype Rehearsal for Continual ECG Arrhythmia Detection
by: Rahmani, Sana, et al.
Published: (2025)
by: Rahmani, Sana, et al.
Published: (2025)
Investigating ECG Diagnosis with Ambiguous Labels using Partial Label Learning
by: Rahmani, Sana, et al.
Published: (2025)
by: Rahmani, Sana, et al.
Published: (2025)
EVL-ECG: Efficient ECG Interpretation With Multi-Aspect Heterogeneous Knowledge Distillation
by: Hong, Dang Nguyen, et al.
Published: (2026)
by: Hong, Dang Nguyen, et al.
Published: (2026)
Vib2ECG: A Paired Chest-Lead SCG-ECG Dataset and Benchmark for ECG Reconstruction
by: Lu, Guorui, et al.
Published: (2026)
by: Lu, Guorui, et al.
Published: (2026)
Uncertainty-Aware Multi-view Arrhythmia Classification from ECG
by: Ashhad, Mohd, et al.
Published: (2025)
by: Ashhad, Mohd, et al.
Published: (2025)
FairCauseSyn: Towards Causally Fair LLM-Augmented Synthetic Data Generation
by: Nagesh, Nitish, et al.
Published: (2025)
by: Nagesh, Nitish, et al.
Published: (2025)
Physics-Based Explainable AI for ECG Segmentation: A Lightweight Model
by: Sidiq, Muhammad Fathur Rohman, et al.
Published: (2025)
by: Sidiq, Muhammad Fathur Rohman, et al.
Published: (2025)
MEETI: A Multimodal ECG Dataset from MIMIC-IV-ECG with Signals, Images, Features and Interpretations
by: Zhang, Deyun, et al.
Published: (2025)
by: Zhang, Deyun, et al.
Published: (2025)
BenchECG and xECG: a benchmark and baseline for ECG foundation models
by: Lunelli, Riccardo, et al.
Published: (2025)
by: Lunelli, Riccardo, et al.
Published: (2025)
Personalized Counterfactual Framework: Generating Potential Outcomes from Wearable Data
by: Subramanian, Ajan, et al.
Published: (2025)
by: Subramanian, Ajan, et al.
Published: (2025)
ChatDiet: Empowering Personalized Nutrition-Oriented Food Recommender Chatbots through an LLM-Augmented Framework
by: Yang, Zhongqi, et al.
Published: (2024)
by: Yang, Zhongqi, et al.
Published: (2024)
Modeling Day-Long ECG Signals to Predict Heart Failure Risk with Explainable AI
by: Zvuloni, Eran, et al.
Published: (2025)
by: Zvuloni, Eran, et al.
Published: (2025)
Efficient Neural Architectures for Real-Time ECG Interpretation on Limited Hardware
by: Mbilinyi, Ashery, et al.
Published: (2026)
by: Mbilinyi, Ashery, et al.
Published: (2026)
ECG-Soup: Harnessing Multi-Layer Synergy for ECG Foundation Models
by: Nguyen, Phu X., et al.
Published: (2025)
by: Nguyen, Phu X., et al.
Published: (2025)
ECG Classification on PTB-XL: A Data-Centric Approach with Simplified CNN-VAE
by: Mehdi, Naqcho Ali, et al.
Published: (2026)
by: Mehdi, Naqcho Ali, et al.
Published: (2026)
Hierarchical Attention Network for Interpretable ECG-based Heart Disease Classification
by: Rodriguez, Mario Padilla, et al.
Published: (2025)
by: Rodriguez, Mario Padilla, et al.
Published: (2025)
Deep learning model for ECG reconstruction reveals the information content of ECG leads
by: Gradowski, Tomasz, et al.
Published: (2025)
by: Gradowski, Tomasz, et al.
Published: (2025)
AnyECG-Lab: An Exploration Study of Fine-tuning an ECG Foundation Model to Estimate Laboratory Values from Single-Lead ECG Signals
by: Xiao, Yujie, et al.
Published: (2025)
by: Xiao, Yujie, et al.
Published: (2025)
CrossStateECG: Multi-Scale Deep Convolutional Network with Attention for Rest-Exercise ECG Biometrics
by: Zheng, Dan, et al.
Published: (2025)
by: Zheng, Dan, et al.
Published: (2025)
AnyECG: Evolved ECG Foundation Model for Holistic Health Profiling
by: Li, Jun, et al.
Published: (2026)
by: Li, Jun, et al.
Published: (2026)
How Well Do Multimodal Models Reason on ECG Signals?
by: Xu, Maxwell A., et al.
Published: (2026)
by: Xu, Maxwell A., et al.
Published: (2026)
Exploring Best Practices for ECG Pre-Processing in Machine Learning
by: Salimi, Amir, et al.
Published: (2023)
by: Salimi, Amir, et al.
Published: (2023)
OpenECG: Benchmarking ECG Foundation Models with Public 1.2 Million Records
by: Wan, Zhijiang, et al.
Published: (2025)
by: Wan, Zhijiang, et al.
Published: (2025)
In-ear ECG Signal Enhancement with Denoising Convolutional Autoencoders
by: Occhipinti, Edoardo, et al.
Published: (2024)
by: Occhipinti, Edoardo, et al.
Published: (2024)
Interpretable Multimodal Zero-Shot ECG Diagnosis via Structured Clinical Knowledge Alignment
by: Tang, Jialu, et al.
Published: (2025)
by: Tang, Jialu, et al.
Published: (2025)
Executable Counterfactuals: Improving LLMs' Causal Reasoning Through Code
by: Vashishtha, Aniket, et al.
Published: (2025)
by: Vashishtha, Aniket, et al.
Published: (2025)
Explainable Deep Neural Network for Multimodal ECG Signals: Intermediate vs Late Fusion
by: Oladunni, Timothy, et al.
Published: (2025)
by: Oladunni, Timothy, et al.
Published: (2025)
Similar Items
-
Membership Inference Attacks Expose Participation Privacy in ECG Foundation Encoders
by: Wang, Ziyu, et al.
Published: (2026) -
Linkage Attacks Expose Identity Risks in Public ECG Data Sharing
by: Wang, Ziyu, et al.
Published: (2025) -
TransECG: Leveraging Transformers for Explainable ECG Re-identification Risk Analysis
by: Wang, Ziyu, et al.
Published: (2025) -
Defending Against Gradient Inversion Attacks for Biomedical Images via Learnable Data Perturbation
by: Jiang, Shiyi, et al.
Published: (2025) -
ECG Unveiled: Analysis of Client Re-identification Risks in Real-World ECG Datasets
by: Wang, Ziyu, et al.
Published: (2024)