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如何通过现代技术、人工智能和新治疗方法改善急性缺血性中风的管理

How to Improve the Management of Acute Ischemic Stroke by Modern Technologies, Artificial Intelligence, and New Treatment Methods.

作者信息

Zeleňák Kamil, Krajina Antonín, Meyer Lukas, Fiehler Jens, Behme Daniel, Bulja Deniz, Caroff Jildaz, Chotai Amar Ajay, Da Ros Valerio, Gentric Jean-Christophe, Hofmeister Jeremy, Kass-Hout Omar, Kocatürk Özcan, Lynch Jeremy, Pearson Ernesto, Vukasinovic Ivan

机构信息

Clinic of Radiology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, 03659 Martin, Slovakia.

ESMINT Artificial Intelligence and Robotics Ad hoc Committee, ESMINT, 8008 Zurich, Switzerland.

出版信息

Life (Basel). 2021 May 27;11(6):488. doi: 10.3390/life11060488.

Abstract

Stroke remains one of the leading causes of death and disability in Europe. The European Stroke Action Plan (ESAP) defines four main targets for the years 2018 to 2030. The COVID-19 pandemic forced the use of innovative technologies and created pressure to improve internet networks. Moreover, 5G internet network will be helpful for the transfer and collecting of extremely big databases. Nowadays, the speed of internet connection is a limiting factor for robotic systems, which can be controlled and commanded potentially from various places in the world. Innovative technologies can be implemented for acute stroke patient management soon. Artificial intelligence (AI) and robotics are used increasingly often without the exception of medicine. Their implementation can be achieved in every level of stroke care. In this article, all steps of stroke health care processes are discussed in terms of how to improve them (including prehospital diagnosis, consultation, transfer of the patient, diagnosis, techniques of the treatment as well as rehabilitation and usage of AI). New ethical problems have also been discovered. Everything must be aligned to the concept of "time is brain".

摘要

中风仍然是欧洲主要的死亡和残疾原因之一。《欧洲中风行动计划》(ESAP)明确了2018年至2030年的四个主要目标。新冠疫情促使创新技术的应用,并给改善互联网网络带来了压力。此外,5G互联网网络将有助于超大型数据库的传输和收集。如今,互联网连接速度是机器人系统的一个限制因素,而机器人系统有可能在世界各个地方进行控制和指挥。创新技术很快就能应用于急性中风患者的管理。人工智能(AI)和机器人技术在医学领域也越来越多地被使用。它们可以应用于中风护理的各个层面。在本文中,将从中风医疗保健流程的各个步骤如何改进(包括院前诊断、会诊、患者转运、诊断、治疗技术以及康复和人工智能的应用)方面进行讨论。同时也发现了新的伦理问题。一切都必须与“时间就是大脑”的理念保持一致。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c9d/8229281/4d1e9c157537/life-11-00488-g001.jpg

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