Abstract

The cardiac intensive care unit (CICU) is a critical environment where patient conditions can rapidly evolve, requiring continuous and complex data monitoring and interpretation. Artificial intelligence (AI) and machine learning (ML) offer significant potential to support physicians and nurses in analyzing the data on vital parameters and for assessing illness severity and estimating mortality risk. However, critical care presents unique challenges and opportunities, such as the intertwining of patient features and comorbidities, constantly evolving clinical scenarios, and ethical considerations, which can limit the application and effectiveness of AI tools. Despite these challenges, AI has shown promises in several areas within the CICU. AI and ML models have been developed to predict the onset and worsening of cardiogenic shock, stratify patients into phenotypic clusters, estimate mortality risk, and anticipate clinical …

Date

August 24, 2025

Authors

Mauro Chiarito, Alessandro Giaj Levra, Luca Luceri

Book

The First Steps of Artificial Intelligence in Cardiology: Will We Still Need Cardiologists?

Pages

97-106

Publisher

Springer Nature Switzerland