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.
| Original language | English |
|---|---|
| Pages (from-to) | 2921-2930 |
| Number of pages | 10 |
| Journal | European heart journal |
| Volume | 43 |
| Issue number | 31 |
| Early online date | 26 May 2022 |
| DOIs | |
| Publication status | Published - 14 Aug 2022 |
Keywords
- Artificial intelligence
- Diagnosis
- Digital health
- Machine learning
- Prediction
- Prognosis
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