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BMC Medical Research Methodology|July 22, 2023
Comparison of discrimination and calibration performance of ECG-based machine learning models for prediction of new-onset atrial fibrillationGiovanni Baj, Ilaria Gandin, Arjuna Scagnetto, et al.
JAMA Network Open|April 30, 2025
Generalizability of FDA-Approved AI-Enabled Medical Devices for Clinical UseDaniel Windecker, Giovanni Baj, Isaac Shiri, et al.
JACC. Advances|September 19, 2025
Multimodal Machine Learning-Based Technical Failure Prediction in Patients Undergoing Transcatheter Aortic Valve ReplacementDaijiro Tomii, Isaac Shiri, Giovanni Baj, et al.
Nature Communications|April 1, 2025
AI-based detection and classification of anomalous aortic origin of coronary arteries using coronary CT angiography imagesIsaac Shiri, Giovanni Baj, Pooya Mohammadi Kazaj, et al.
European Journal of Heart Failure|August 15, 2025
Clustering in dilated cardiomyopathy at initial evaluation: An effective tool for clinical stratificationIlaria Gandin, Maria Perotto, Alessia Paldino, et al.
European Heart Journal. Digital Health|March 12, 2026
Artificial intelligence 12-lead electrocardiography to determine atrial fibrillation risk among UK Biobank participants with predisposing conditionsYi Zheng, Konstantinos C Siontis, Zachi I Attia, et al.
European Journal of Nuclear Medicine and Molecular Imaging|September 22, 2024
Multi-modality artificial intelligence-based transthyretin amyloid cardiomyopathy detection in patients with severe aortic stenosisIsaac Shiri, Sebastian Balzer, Giovanni Baj, et al.
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