
The MAMBO Framework: Human-Centered AI and the Future of Perfusion
An editorial explores how the MAMBO framework could connect precision perfusion, AI-assisted decision support, and sustainable workflows.
Explore articles, research, and perspectives from the International Perfusion Association.

An editorial explores how the MAMBO framework could connect precision perfusion, AI-assisted decision support, and sustainable workflows.

Eight perfusionists helped define requirements for future decision support: interpretable explanations, workflow integration, personalization, and clinician control.

PerfusionGPT is an AI-powered chatbot based on Open-AI’s latest models, specifically designed to provide expert knowledge for perfusionists in cardiac surgery. It serves as

Artificial intelligence (AI) is transforming adult cardiovascular medicine and surgery by enhancing diagnostics, surgical planning, intraoperative precision, and postoperative monitoring. Tools such as AI-ECG,

This study evaluates a machine learning (ML) model using electronic health record (EHR) data to predict acute kidney injury (AKI) after cardiac surgery. In

Cybersecurity is increasingly critical in perfusion as connected medical devices expand vulnerability within hospital networks. Perfusionists must understand risks associated with the Internet of

Minimally invasive and robotic cardiac surgery reduce surgical trauma and speed recovery but often require longer cardiopulmonary bypass (CPB) times, increasing risks such as

In this multicentre study of 335 ECMO patients, high-resolution device and electronic health record data were integrated to develop a two-stage artificial intelligence model

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 investigates the effects of systemic inflammatory response syndrome (SIRS) on 30-day mortality following cardiac surgery and develops machine learning models to predict

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

PerfusionGPT is an AI-powered chatbot based on Open-AI’s latest models, specifically designed to provide expert knowledge for perfusionists in cardiac surgery. It serves as
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