Lay summary
Cardiovascular disease (CVD) is a leading cause of death in New Zealand, accounting for 40% of all deaths. The electrocardiogram (ECG) is one of the most accessible diagnostic tools available in clinics and can assist in diagnosing various CVDs, including atrial fibrillation (AF). In this project, we aim to develop an artificial intelligence-driven ECG analysis to identify patients with AF who are most suitable for ablation strategies. To illustrate the underlying mechanisms, we will use digital twins of the human heart and forward computing techniques. Furthermore, we will develop an innovative artificial intelligence platform and a low-cost, clinically approved ECG patch to improve the efficacy of AF treatment, maximising the involvement of Māori in the research and enhancing benefits to Māori communities. The placement at Waikato Hospital will enable researchers to better understand the current clinical setting and allow the research to be directly developed and tested in the clinic.