Benjamins J W, Hendriks T, Knuuti J, Juarez-Orozco L E, van der Harst P
University of Groningen, University Medical Center Groningen, Department of Cardiology, Groningen, The Netherlands.
Turku PET Center, Turku University Hospital and University of Turku, Turku, Finland.
Neth Heart J. 2019 Sep;27(9):392-402. doi: 10.1007/s12471-019-1286-6.
Driven by recent developments in computational power, algorithms and web-based storage resources, machine learning (ML)-based artificial intelligence (AI) has quickly gained ground as the solution for many technological and societal challenges. AI education has become very popular and is oversubscribed at Dutch universities. Major investments were made in 2018 to develop and build the first AI-driven hospitals to improve patient care and reduce healthcare costs. AI has the potential to greatly enhance traditional statistical analyses in many domains and has been demonstrated to allow the discovery of 'hidden' information in highly complex datasets. As such, AI can also be of significant value in the diagnosis and treatment of cardiovascular disease, and the first applications of AI in the cardiovascular field are promising. However, many professionals in the cardiovascular field involved in patient care, education or science are unaware of the basics behind AI and the existing and expected applications in their field. In this review, we aim to introduce the broad cardiovascular community to the basics of modern ML-based AI and explain several of the commonly used algorithms. We also summarise their initial and future applications relevant to the cardiovascular field.
在计算能力、算法和基于网络的存储资源的最新发展推动下，基于机器学习（ML）的人工智能（AI）作为应对许多技术和社会挑战的解决方案迅速得到普及。人工智能教育已变得非常受欢迎，荷兰大学的相关课程供不应求。2018年进行了重大投资，以开发和建设首批人工智能驱动的医院，以改善患者护理并降低医疗成本。人工智能有潜力在许多领域极大地增强传统统计分析，并已被证明能够在高度复杂的数据集中发现“隐藏”信息。因此，人工智能在心血管疾病的诊断和治疗中也可能具有重要价值，并且人工智能在心血管领域的首次应用前景广阔。然而，许多从事患者护理、教育或科学工作的心血管领域专业人员并不了解人工智能背后的基础知识以及该领域中现有的和预期的应用。在这篇综述中，我们旨在向广大心血管领域的人士介绍基于现代机器学习的人工智能的基础知识，并解释几种常用算法。我们还总结了它们在心血管领域的初步和未来应用。
