Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease

Eur Heart J. 2022 May 26;ehac238. doi: 10.1093/eurheartj/ehac238. Online ahead of print.


The medical field has seen a rapid increase in the development of artificial intelligence (AI)-based prediction models. With the introduction of such AI-based prediction model tools and software in cardiovascular patient care, the cardiovascular researcher and healthcare professional are challenged to understand the opportunities as well as the limitations of the AI-based predictions. In this article, we present 12 critical questions for cardiovascular health professionals to ask when confronted with an AI-based prediction model. We aim to support medical professionals to distinguish the AI-based prediction models that can add value to patient care from the AI that does not.

Keywords: Artificial intelligence; Diagnosis; Digital health; Machine learning; Prediction; Prognosis.