Background: Clinical prediction tools such as the Thrombolysis in Myocardial Infarction (TIMI) score and Global Registry of Acute Coronary Events (GRACE) score can be used by clinicians to evaluate risk of myocardial infarction (MI). However, the use of these tools is constrained by their interruption of clinical workflow. There is a need for innovative and seamless approaches to support MI diagnosis that can be leveraged within the initial hours of a patient’s emergency department (ED) assessment.