mlsanityData to 14 Oct 2026

ALFRED: Ask a Large-language model For Reliable ECG Diagnosis

arXiv 2505.03781 ↗First posted 30 Apr 2025cs.LGcited by 1

On the map: Retrieval-augmented generation → Medical and biomedical RAG

Abstract (arXiv)

Leveraging Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG) for analyzing medical data, particularly Electrocardiogram (ECG), offers high accuracy and convenience. However, generating reliable, evidence-based results in specialized fields like healthcare remains a challenge, as RAG alone may not suffice. We propose a Zero-shot ECG diagnosis framework based on RAG for ECG analysis that incorporates expert-curated knowledge to enhance diagnostic accuracy and explainability. Evaluation on the PTB-XL dataset demonstrates the framework's effectiveness, highlighting the value of structured domain expertise in automated ECG interpretation. Our framework is designed to support comprehensive ECG analysis, addressing diverse diagnostic needs with potential applications beyond the tested dataset.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Placed in Medical and biomedical RAG, one of 15 directions in Retrieval-augmented generation. Builds on 0 of its 8 references that are in the map. First posted on arXiv 30 Apr 2025.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 1.

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  1. 2026ATRIA: Adaptive Traceable ECG Reporting with Iterative Agentscited by 0

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  1. 2025Retrieval-Augmented Generation for Electrocardiogram-Language Models
  2. 2025ECG-LLM -- training and evaluation of domain-specific large language models for electrocardiography
  3. 2026ECGQuest: Benchmarking and Fine-Tuning Language Models for Electrocardiography
  4. 2024Electrocardiogram Report Generation and Question Answering via Retrieval-Augmented Self-Supervised Modeling
  5. 2026ECG-Reasoning-Benchmark: A Benchmark for Evaluating Clinical Reasoning Capabilities in ECG Interpretation
  6. 2026Reasoning Before Diagnosis: Physician-Inspired Structured Thinking for ECG Classification
  7. 2024Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement
  8. 2025HeartLLM: Discretized ECG Tokenization for LLM-Based Diagnostic Reasoning