| Autor: |
孟令涉1，王春娟1，2 (MENG Lingshe1, WANG Chunjuan1,2 ) |
| Jazyk: |
čínština |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
Zhongguo cuzhong zazhi, Vol 19, Iss 6, Pp 621-631 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
1673-5765 |
| DOI: |
10.3969/j.issn.1673-5765.2024.06.003 |
| Popis: |
心脑血管疾病是全球主要的致死和致残病因之一。尽管医疗技术不断进步，心脑血管疾病的诊治仍存在许多亟待解决的问题，人工智能与机器学习的出现为应对这些问题提供了新途径。美国心脏学会2024年发布的科学声明从影像分析、心电图判读、床旁监护、可穿戴设备、基因组学及电子健康记录等方面介绍了人工智能与机器学习在临床中的应用及面临的挑战。本文对该指南进行介绍，并分析人工智能与机器学习在脑血管病领域中应用的优势，为我国未来在这一领域的研究提供参考。 Abstract: Cardiovascular and cerebrovascular diseases are among the leading causes of death and disability worldwide. Despite continuous advancements in medical technology, the diagnosis and treatment of these diseases still face many unresolved challenges. The emergence of artificial intelligence and machine learning provides new approaches to addressing these issues. The American Heart Association’s 2024 scientific statement highlights the applications and challenges of artificial intelligence and machine learning in clinical scenarios, including imaging analysis, electrocardiogram interpretation, bedside monitoring, wearable devices, genomics, and electronic health records. This paper aims to introduce these aspects and analyze the advantages of artificial intelligence and machine learning in the field of cerebrovascular diseases, providing a reference for the future development of artificial intelligence and machine learning in this area in China. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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