Siegersma K R, Leiner T, Chew D P, Appelman Y, Hofstra L, Verjans J W
Department of Cardiology, location VUmc, Amsterdam University Medical Centres, Amsterdam, The Netherlands.
Department of Experimental Cardiology, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands.
Neth Heart J. 2019 Sep;27(9):403-413. doi: 10.1007/s12471-019-01311-1.
Healthcare, conceivably more than any other area of human endeavour, has the greatest potential to be affected by artificial intelligence (AI). This potential has been shown by several reports that demonstrate equal or superhuman performance in medical tasks that aim to improve efficiency, diagnosis and prognosis. This review focuses on the state of the art of AI applications in cardiovascular imaging. It provides an overview of the current applications and studies performed, including the potential value, implications, limitations and future directions of AI in cardiovascular imaging.It is envisioned that AI will dramatically change the way doctors practise medicine. In the short term, it will assist physicians with easy tasks, such as automating measurements, making predictions based on big data, and putting clinical findings into an evidence-based context. In the long term, AI will not only assist doctors, it has the potential to significantly improve access to health and well-being data for patients and their caretakers. This empowers patients. From a physician's perspective, reliable AI assistance will be available to support clinical decision-making. Although cardiovascular studies implementing AI are increasing in number, the applications have only just started to penetrate contemporary clinical care.
可以想象，医疗保健领域比人类努力的任何其他领域都更有可能受到人工智能（AI）的影响。几份报告已经证明了这种潜力，这些报告表明，在旨在提高效率、诊断和预后的医疗任务中，人工智能具有等同于人类或超越人类的表现。本综述聚焦于人工智能在心血管成像中的应用现状。它概述了当前的应用和已开展的研究，包括人工智能在心血管成像中的潜在价值、影响、局限性和未来方向。预计人工智能将极大地改变医生的行医方式。短期内，它将协助医生完成一些简单任务，比如自动测量、基于大数据进行预测，以及将临床发现置于循证背景下。从长远来看，人工智能不仅会协助医生，还有可能显著改善患者及其护理人员获取健康和幸福数据的机会。这将赋予患者权力。从医生的角度来看，可靠的人工智能协助将可用于支持临床决策。尽管实施人工智能的心血管研究数量在不断增加，但这些应用才刚刚开始渗透到当代临床护理中。
