Application of artificial intelligence based on multimodal fundus image data in the diagnosis and treatment of cardiovascular diseases
- VernacularTitle:基于多模态眼底影像数据的人工智能在心血管疾病诊疗中的应用研究
- Author:
Yan WANG
1
,
2
,
3
;
Xue HE
1
,
2
,
3
;
Hanpeng ZHAO
3
,
4
,
5
;
Cong LI
1
,
2
,
3
;
Yun REN
3
,
4
,
6
;
Jianrong JIANG
3
,
4
,
5
;
Zhenchao DU
3
,
4
,
6
;
Xiaohong YANG
1
,
2
,
3
Author Information
1. 1. School of Medicine, South China University of Technology, Guangzhou, 510006, P. R. China
2. 2.Guangdong Eye Institute, Guangdong Provincial People'
3. s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, P. R. China
4. 2.Guangdong Eye Institute, Guangdong Provincial People'
5. 3. Southern Medical University, Guangzhou, 510515, P. R. China
6. 4. Medical College of Shantou University, Shantou, 515041, Guangdong, P. R. China
- Publication Type:Journal Article
- Keywords:
Multimodal fundus imaging;
artificial intelligence;
cardiovascular diseases;
diagnosis and treatment;
review
- From:
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery
2023;30(09):1344-1350
- CountryChina
- Language:Chinese
-
Abstract:
Cardiovascular diseases is the leading cause of threat to human life and health worldwide. Early risk assessment, timely diagnosis, and prognosis evaluation are critical to the treatment of cardiovascular diseases. Currently, the evaluation of diagnosis and prognosis of cardiovascular diseases mainly relies on imaging examinations such as coronary CT and coronary angiography, which are expensive, time-consuming, partly invasive, and require high professional competence of the operator, making it difficult to promote in the community or in areas where medical resources are scarce. The fundus microcirculation is a part of the human microcirculation and has similar embryological origins and physiopathological features to cardiovascular circulation. Several studies have revealed fundus imaging biomarkers associated with cardiovascular diseases, and developed and validated intelligent diagnosis and treatment models for cardiovascular diseases based on fundus imaging data. Fundus imaging is expected to be an important adjunct to cardiovascular disease diagnosis and treatment given its noninvasive and convenient nature. The purpose of this review is to summarize the current research status, challenges, and future prospects of the application of artificial intelligence based on multimodal fundus imaging data in cardiovascular disease diagnosis and treatment.
