Explore articles, research, and perspectives from the International Perfusion Association.
Eight perfusionists helped define requirements for future decision support: interpretable explanations, workflow integration, personalization, and clinician control.
This study evaluates a machine learning (ML) model using electronic health record (EHR) data to predict acute kidney injury (AKI) after cardiac surgery. In
This editorial outlines how artificial intelligence (AI) is transforming cardiovascular interventions by enhancing procedural planning, democratizing medical expertise, and expediting device development. AI-driven tools
This study developed machine learning (ML) models to predict in-hospital mortality among ICU patients with acute heart failure (AHF) using data from the MIMIC-IV
