Machine learning (ML) may come across to some as little more than the latest digital buzzword, but a new study evaluated ML against conventional predictive modeling for outcomes for percutaneous coronary intervention (PCI) and scored well for post-discharge events. This novel algorithm scored significantly better than conventional statistical models for 30-day readmissions for heart failure and 180-day mortality outcomes, a result that suggests that ML may soon find a place for itself in the world of clinical cardiology.