人工智能的原理及其在心血管医学中的应用
Heinrich Wieneke1, Ingo Voigt1
1Department of Cardiology and Angiology, Contilia Heart and Vascular Center, Elisabeth-Krankenhaus Essen, Essen, Germany.
Clinical cardiology
|September 18, 2023
概括
人工智能 (AI) 提供了医学进步,但面临医生怀疑. 本综述阐明了AI原则和模型,有助于对心脏病应用进行批判性评估.
科学领域:
- 医疗信息学 医疗信息学
- 机器学习在医学中的应用
背景情况:
- 人工智能 (AI) 正在迅速发展,有可能增强医学诊断和治疗.
- 医生们经常把人工智能视为一个"黑盒子",尽管它取得了进展,但导致了怀疑.
研究的目的:
- 通过解释机器学习基础和分类来消除AI的神秘性.
- 阐明常见的AI模型及其医疗应用,特别是在心血管医学中.
- 授权医生批判性地评估AI在心脏病学中的作用.
主要方法:
- 对基本机器学习概念的审查.
- 人工智能分类的解释:监督与无监督,歧视与生成.
- 介绍常见的人工智能模型 (随机森林,k-means,CNN,变压器) 的类比.
- 讨论每个模型在心血管医学中的医疗应用.
主要成果:
- 人工智能涵盖了各种各样的概念,而不是一个单一的实体.
- 了解人工智能原则有助于就其临床用途做出明智的决策.
- 熟悉人工智能模型有助于对人工智能产生的结果进行批判性评估.
结论:
- 这篇评论为医生提供了对AI的基本理解.
- 它旨在弥合知识差距,减少怀疑,并促进AI在心脏病学中的批判性采用.
- 医生可以更好地评估人工智能工具和他们的输出,在了解基础原则后.
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