Data-driven point-of-care risk model in patients with acute myocardial infarction and cardiogenic shock.

Data-driven prognosis models outperformed established risk scores in patients with AMICS receiving acute PCI and exhibited good discriminative abilities. Observations indicate a potential use of machinelearning to facilitate individualized patient care and targeted interventions in the future.