The British Heart Foundation (BHF) Data Science Centre, led by Health Data Research UK, has launched an open challenge to explore the potential of Artificial Intelligence in improving electrocardiogram (ECG) use for cardiovascular disease patient care. The challenge, co-designed with patients and members of the public, invites competitors to develop algorithms that can make clinical diagnoses based on ECG images. Professor Michelle Williams, Associate Director of the BHF Data Science Centre, notes that open challenges provide a mechanism for researchers to collaborate on pressing health data research topics. The centre is collaborating with experts from the University of Edinburgh to use a synthetic imaging dataset of approximately 20,000 simulated ECG images. The goal is to develop algorithms that can be applied to real-world datasets, ultimately improving cardiovascular disease diagnosis, treatment, and prevention.
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