Ziad Obermeyer
ORCID iDZiad Obermeyer has 1 paper in the ChatPPG research atlas (2026) and 4 co-authors in the atlas. Main topics: ECG, mortality, SCD, explainability, generative, biomarker-discovery.
Papers
- ECG Mortality/SCD Prediction with Generative Explainability2026 · Nature
This Nature paper uses ECG to predict sudden cardiac death, where the standard marker, reduced ejection fraction, misses most cases. The model picked out a high-risk group (2.2% of patients) with a 7.0% yearly rate of sudden cardiac death, higher than people with reduced LVEF (4.6%). Most of the model's high-risk patients (86.1%) were not flagged by LVEF.
- Published: Nature, 2026
- Signals: ECG
- Result: high-risk group 2.2% of sample, 7.0% annual SCD rate