| Frontiers in Cardiovascular Medicine | |
| The Role of Artificial Intelligence in Cardiovascular Imaging: State of the Art Review | |
| article | |
| Karthik Seetharam1  Daniel Brito1  Peter D. Farjo1  Partho P. Sengupta1  | |
| [1] Department of Cardiology, West Virginia University Medicine Heart & Vascular Institute | |
| 关键词: machine learning; automation; cardiovascular imaging; precision medicine; advanced imaging; | |
| DOI : 10.3389/fcvm.2020.618849 | |
| 学科分类:地球科学(综合) | |
| 来源: Frontiers | |
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【 摘 要 】
In this current digital landscape, artificial intelligence (AI) has established itself as a powerful tool in the commercial industry and is an evolving technology in healthcare. Cutting-edge imaging modalities outputting multi-dimensional data are becoming increasingly complex. In this era of data explosion, the field of cardiovascular imaging is undergoing a paradigm shift toward machine learning (ML) driven platforms. These diverse algorithms can seamlessly analyze information and automate a range of tasks. In this review article, we explore the role of ML in the field of cardiovascular imaging.
【 授权许可】
CC BY
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202108190000986ZK.pdf | 5501KB |
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