AiTTRIX (pronounced "A-trix"), Artificial Intelligence for TransThyretin cardiac amyloidosis RIsk prediction using an eXplainable model, is a clinical decision support platform for individualized prognostic assessment in ATTR-CM. It leverages machine learning to estimate the risk of major adverse cardiovascular events (MACE), enabling transparent and data-driven patient stratification.
AiTTRIX was developed using a Bern, Switzerland, cohort and externally validated across five centers in Switzerland, as well as an independent Vienna, Austria, cohort. AiTTRIX outperformed conventional risk scores and demonstrated strong generalizability across diverse populations.
The AiTTRIX Web Application provides access to the AI models developed for AiTTRIX. You can access the web app via the following link: 🔗 https://ai-cvm.com/software/AiTTRIX
This project is covered under the Attribution-NonCommercial 4.0 International License.
Please kindly cite the following paper if you use this repository.
@unpublished{shiri2025,
author = { Giovanni Baj, Nicola Ciocca, Pooya Mohammadi Kazaj, Xuan Ma, Annina A Studer Bruengger, Simon F. Stämpfli,
Niklas F Ehl, Sarah Hugelshofer, Otmar Pfister, Joëlle Lehmann, Christoph Ryffel, Lukas Hunziker,
Michael Poledniczek, Andreas Kammerlander, George CM Siontis, Stephan Windecker,
Moritz J. Hundertmark, Christian Nitsche, Isaac Shiri, Christoph Gräni},
title = {Machine Learning–Driven Risk Prediction Model for Major Adverse Cardiovascular Events in
Transthyretin Amyloid Cardiomyopathy: A Multicenter Study Development and Testing},
note = {Under review},
year = {2026}
}
Machine Learning–Driven Risk Prediction Model for Major Adverse Cardiovascular Events in Transthyretin Amyloid Cardiomyopathy: A Multicenter Study Development and Testing
Giovanni Baj and Nicola Ciocca; Pooya Mohammadi Kazaj; Xuan Ma, Annina A Studer Bruengger; Simon F. Stämpfli; Niklas F Ehl;
Sarah Hugelshofer; Otmar Pfister; Joëlle Lehmann; Christoph Ryffel; Lukas Hunziker; Michael Poledniczek; Andreas Kammerlander;
George CM Siontis; Stephan Windecker; Moritz J. Hundertmark; Christian Nitsche; Isaac Shiri; Christoph Gräni
Under Review, 2026.
This tool is intended for research purposes only and has not been approved for clinical use!