Author

Aidan R Birdi

Observed names: Aidan Birdi, Aidan R. Birdi, Aidan René Birdi

Institution: Imperial College London

Observed institution: Imperial College London

ORCID: 0009-0000-4098-9288

Observed ORCID: 0009-0000-4098-9288

OpenAlex ID: A5130767820

Data distribution impacts the performance and generalisability of contrastive learning-based foundation models of electrocardiograms

2026 · Gul Rukh Khattak, Konstantinos Patlatzoglou, et al. · PLOS Digital Health · 3

Abstract 16600: Translating Single-Lead Artificial Intelligence-Enhanced Electrocardiography from Hospital to Wearable Recordings: Multistage Validation Across International Clinical and Consumer Cohorts

2026 · Ahmed El-Medany, Konstantinos Patlatzoglou, et al. · Circulation

Abstract 9994: Reproducibility of AI-ECG Predictions: Within-Patient Reliability of AI-ECG Across Nine Prediction Tasks and Three Multi-Centre Cohorts

2026 · Hesham Aggour, Aidan R Birdi, et al. · Circulation

Abstract 9962: Longitudinal AI-Enhanced ECG for Dynamic and Competing Risk Prediction: Multicentre Development and Validation Across Fifteen Endpoints with Comparison to Single-ECG Modelling and PREVENT for Primary Cardiovascular Prevention

2026 · Aidan Birdi, Gul Rukh Khattak, et al. · Circulation

From wrist to heart: clinical validation and real-world translation of wearable and portable AI-enhanced electrocardiography

2026 · Ahmed El-Medany, Aidan René Birdi, et al. · European Heart Journal - Digital Health

Predicting self-terminating ventricular tachycardia using cycle-length variability: External validation of a machine learning model

2026 · Gul Rukh Khattak, Ahmed El-Medany, et al. · Heart Rhythm O2

375 Decoding cardiovascular biological ageing using an AI-derived ECG age clock with multi-omic integration

2026 · Joseph Barker, Sina Fathieh, et al. · Heart

Ce-518884-002 Artificial Intelligence-enhanced Electrocardiography for Detection of Diastolic Dysfunction, Arrhythmia Risk, and Prognosis Across Seven International Cohorts

2026 · Libor Pastika, Konstantinos Patlatzoglou, et al. · Heart Rhythm

Po-fpii-044 From Clinical to Consumer: Cross-device Generalisability of Ai-ecg for Demographic and Anthropometric Prediction Using Apple Watch and Kardia Recordings

2026 · Ahmed El-Medany, Hesham Aggour, et al. · Heart Rhythm

Po-03-064 Prediction of First and Recurrent Ventricular Arrhythmia With Artificial Intelligence-enhanced Ecg

2026 · Libor Pastika, Boroumand Zeidaabadi, et al. · Heart Rhythm

Po-fpi-020 Ai-enhanced Ecg Risk Estimation for Incident Heart Failure & Ventricular Arrhythmia in Hypertrophic Cardiomyopathy

2026 · Joseph Barker, Boroumand Zeidaabadi, et al. · Heart Rhythm

Po-03-041 Machine Learning Algorithm to Predict Spontaneous Ventricular Tachycardia Termination: External Validation on a Large, Multicentre Implantable Cardioverter Defibrillator Electrogram Dataset

2026 · Ahmed El-Medany, Gul Rukh Khattak, et al. · Heart Rhythm

Po-02-004 Deep Learning Ecg-derived Biological Age Predicts Arrhythmic and Structural Cardiovascular Disease and Maps to Multi-omic Lipid-inflammatory Ageing Pathways

2026 · Joseph Barker, Sina Fathieh, et al. · Heart Rhythm

26-yia-7531-acc Artificial Intelligence-enhanced Electrocardiography Meta-model for Short-term Generalised Cardiovascular Risk Prediction

2026 · Boroumand Zeidaabadi, Libor Pastika, et al. · Journal of the American College of Cardiology

Mechanistic interpretations of sustained ventricular fibrillation: The role of mapping methodology, model and time

2026 · Johanna Tonko, Vineesh Kappadan, et al. · Heart International

Works count: 15

Citation count: 3

H-index: 1

I10-index: