Background Artificial intelligence ECG (AI-ECG) models can predict cardiovascular outcomes, but their clinical adoption is limited by restricted access to training data and uncertain generalisability.

It is widely believed that language is structured around ‘constituents’, units that combine hierarchically. Using structural priming, we provide evidence of linguistic structures — non-constituents — ...