Cypko M, Emmert M Y, Falk V, Meyer A
Klinik für Herz‑, Thorax-, und Gefäßchirurgie, Deutsches Herzzentrum Berlin, Augustenburger Platz 1, 10785, Berlin, Deutschland.
Department of Cardiothoracic Surgery, Charité - Universitätsmedizin Berlin, Berlin, Deutschland.
Chirurg. 2020 Mar;91(3):235-239. doi: 10.1007/s00104-020-01132-8.
Less than 10 years ago a breakthrough was made in the world of computer science and artificial intelligence (AI) with the application of deep neural networks, which initially found little attention in medicine. In 2017 the first high-ranking publications on the medical application of AI were published. The potential of AI became known to many both in clinical medicine as well as in clinical and biomedical research. At the end of 2019 a phase of upheaval is occurring: first concepts for regulatory procedures have appeared, a large number of start-ups but also established companies are endeavoring to introduce AI-based medical devices into the market. This article discusses the basic principles for understanding AI-based medical devices as well as an overview of current AI-based solutions specific to cardiac surgery.
不到10年前，随着深度神经网络的应用，计算机科学和人工智能（AI）领域取得了突破，而这一技术最初在医学领域并未受到太多关注。2017年，关于AI医学应用的首批高水平出版物问世。AI的潜力在临床医学以及临床和生物医学研究中为许多人所知。2019年底，一场变革正在发生：监管程序的初步概念已经出现，大量初创企业以及老牌公司都在努力将基于AI的医疗设备推向市场。本文讨论了理解基于AI的医疗设备的基本原则，以及当前心脏手术特定的基于AI的解决方案概述。
