Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease.
review · Level V
Where this comes from
- Record sourced from PubMed, PMID 35639667.
- Also identified by DOI 10.1093/eurheartj/ehac238 and PMC identifier 9443991.
- Licence recorded as CC BY-NC.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
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.
Medical subject headings
- Artificial Intelligence
- Cardiovascular Diseases