Abstract: The overall invention categorizes patients with suspected acute myocardial infarction (AMI) with regard to a) AMI/non-AMI; b) infarct size (e.g. Major/Minor); c) time since onset of infarction; and d) non-AMI with/without minor myocardial damage (MMD). Generally, the above categorization is based on frequent timed blood sampling and measurement of selected biochemical markers of AMI with different rates of appearance in circulating blood. The computations are performed by using specially designed artificial neural networks. According to a first main aspect of the invention, early, i.e. generally within 3 hours from admission of the patient, detection/exclusion of acute myocardial infarction is provided. Furthermore, early prediction of the infarct size and early estimation of the time from onset are also provided.