A prospective diagnostic cohort study reported validation of an AI-ECG algorithm as an adjunct to troponin testing for early heart attack diagnosis in European emergency departments. The work supports the use of machine-learning electrocardiography outputs to complement biochemical decision-making during initial triage. By positioning AI-ECG alongside troponin rather than replacing it, the study frames the clinical implementation path around workflow integration and earlier risk stratification. The focus on emergency settings suggests potential impact on time-to-treatment decisions where minutes can affect outcomes. Details of performance metrics were not provided in the source text, but the prospective design and triage-adjunct framing were central to the reported validation.