Back to Search
Start Over
Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease
- Source :
- Van Smeden , M , Heinze , G , Van Calster , B , Asselbergs , F W , Vardas , P E , Bruining , N , De Jaegere , P , Moore , J H , Denaxas , S , Boulesteix , A L & Moons , K G M 2022 , ' Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease ' , European Heart Journal , vol. 43 , no. 31 , pp. 2921-2930 .
- Publication Year :
- 2022
-
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.
Details
- Database :
- OAIster
- Journal :
- Van Smeden , M , Heinze , G , Van Calster , B , Asselbergs , F W , Vardas , P E , Bruining , N , De Jaegere , P , Moore , J H , Denaxas , S , Boulesteix , A L & Moons , K G M 2022 , ' Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease ' , European Heart Journal , vol. 43 , no. 31 , pp. 2921-2930 .
- Notes :
- application/pdf, English
- Publication Type :
- Electronic Resource
- Accession number :
- edsoai.on1379333102
- Document Type :
- Electronic Resource