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在心血管医学中采用人工智能:一个范围审查

Hisaki Makimoto¹, Takahide Kohro²

¹Data Science Center/Cardiovascular Center, Jichi Medical University, Shimotsuke, Japan. h1sak1mak1m0t0@gmail.com.

Hypertension research : official journal of the Japanese Society of Hypertension

|November 1, 2023

概括

人工智能 (AI) 正在迅速改变心血管医学,在过去五年中,在各种子专业领域的应用程序增长了十倍. 深度学习是主要的方法,增强了诊断,但临床整合仍然是一个挑战.

科学领域:

心血管医学心血管医学
数字健康数字健康
人工智能的人工智能

背景情况:

心血管医学正经历着由人工智能 (AI) 推动的重大转型.
人工智能的快速发展为心血管科学带来了新的机遇和挑战.
了解人工智能应用的范围对于未来的进展至关重要.

研究的目的:

进行范围审查,捕捉心血管科学中AI应用的广度.
确定在心脏病学中使用人工智能的主流趋势和关键领域.
评估AI在过去五年内在心血管医学中的增长和影响.

主要方法:

在PubMed.com上进行了结构化的文献搜索.
在一般内科,心脏病学和数字医学期刊中,文章以心血管相关性进行过.
通过全文选,确定了140项相关研究进行分析.

主要成果:

在心血管医学中,人工智能应用在过去五年中增加了十倍以上.
深度学习是占主导地位的人工智能方法,适用于心脏病学,缺血性心脏病,心力衰竭和心律失常等子专业.
人工智能主要用于诊断和预后,在omics数据分析中越来越多地使用,但临床整合滞后.

结论:

人工智能,特别是深度学习,在整个心血管子专业领域都显示出变革性的潜力.
人工智能在决策中的全面临床整合存在一个显著的差距.
未来的研究需要量身定制的系统审查,考虑到伦理影响和丰富的数字健康数据.

关键词:

人工智能的人工智能是人工智能.心血管医学心血管医学深度学习是一种深度学习.机器学习是机器学习.

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