# Artificial Intelligence in Precision Cardiovascular Medicine

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/artificial-intelligence-in-precision-cardiovascular-medicine/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Chayakrit Krittanawong,HongJu Zhang,Zhen Wang,Mehmet Aydar,Takeshi Kitai |
| Citations | 1,105 |
| DOI | 10.1016/j.jacc.2017.03.571 |
| Fields | Computer Science,Health Professions,Medicine |
| Open Access | true |
| OA Status | bronze |
| OA URL | https://www.sciencedirect.com/science/article/pii/S0735109717368456/pdf |
| OpenAlex ID | https://openalex.org/W2617110182 |
| PMID | 28545640 |
| Type | article |
| Year | 2017 |

## Paper authors

- [Takeshi Kitai](https://scholariq.org/researchers/takeshi-kitai/)

## Paper journal

- [Journal of the American College of Cardiology](https://scholariq.org/journals/journal-of-the-american-college-of-cardiology/)

## Paper primary topic

- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)

## Paper topics

- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)
- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)
- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.