Interpretable Multimodal Zero-Shot ECG Diagnosis (ZETA)

🧠 Overview

We propose ZETA, a zero-shot multimodal framework for ECG diagnosis that aligns signals with structured clinical observations.

Instead of directly predicting diseases, ZETA compares ECG signals with positive and negative clinical evidence, mimicking differential diagnosis.

🖼️ Framework

⚙️ Method

• Structured observations: LLM-generated + expert-validated
• Multimodal alignment: pretrained ECG-text model
• Inference:
  • ✅ match with positive observations
  • ❌ match with negative observations

Prediction is based on relative evidence strength.

📊 Results

📦 Checkpoint

ZETA/checkpoints/best.pt