3 papers
cs.AI2025
CoFE: A Framework Generating Counterfactual ECG for Explainable Cardiac AI-Diagnostics
Jong-Hwan Jang, Junho Song, Yong-Yeon Jo
Recognizing the need for explainable AI (XAI) approaches to enable the successful integration of AI-based ECG prediction models (AI-ECG) into clinical practice, we introduce a fram…
cs.LG2025
ALFRED: Ask a Large-language model For Reliable ECG Diagnosis
Jin Yu, JaeHo Park, TaeJun Park +6
Leveraging Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG) for analyzing medical data, particularly Electrocardiogram (ECG), offers high accuracy and conveni…
eess.SP2024
New Test-Time Scenario for Biosignal: Concept and Its Approach
Yong-Yeon Jo, Byeong Tak Lee, Beom Joon Kim +3
Online Test-Time Adaptation (OTTA) enhances model robustness by updating pre-trained models with unlabeled data during testing. In healthcare, OTTA is vital for real-time tasks lik…