Interpretation of "Use of artificial intelligence in improving outcomes in heart disease: A scientific statement from the American Heart Association"
- VernacularTitle:《应用人工智能改善心脏病临床结局：美国心脏协会科学声明》解读
- Author:
Jinhua CHEN
1
;
Heng ZHANG
1
,
2
;
Zhe ZHENG
1
,
2
Author Information
1. State Key Laboratory of Cardiovascular Disease, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Beijing, 100037, P. R. China
2. Department of Cardiovascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, P. R. China
- Publication Type:Journal Article
- Keywords:
Artificial intelligence;
electrocardiography;
electronic health records;
ethics;
genetics;
heart diseases;
monitoring;
interpretation
- From:
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery
2025;32(07):919-929
- CountryChina
- Language:Chinese
-
Abstract:
Currently, the academic community, industry, and governmental institutions worldwide are dedicated to developing and applying artificial intelligence and other advanced analytical tools to drive the transformation of healthcare services. However, there are still many challenges, with only a few artificial intelligence tools having achieved sufficient effectiveness in improving clinical outcomes for cardiovascular diseases and strokes to be widely used. In response, the American Heart Association has formulated related scientific statements outlining the latest research developments in artificial intelligence algorithms and data science for the diagnosis, classification, and treatment of cardiovascular diseases. These statements also summarize the current best practices, research gaps, and existing challenges of artificial intelligence tools, aiming to promote the development of this field. This article interprets this scientific statement in conjunction with the relevant research practices of the author's team.
