医学中的神经网络。使用人工智能的自动化

M.E. Lysova, M.E. Kuznetsov
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引用次数: 0

摘要

神经网络将有助于改善和自动化医疗,无论是在治疗过程本身还是在服务部分。在引入神经网络(机器人和芯片)之后,每个综合诊所都将能够提高效率水平。介绍了在技术设备和医疗技术中使用神经网络的三个例子。考虑了使用人工智能的一些利弊。简要描述了医学领域各方面可能的改进。信息中的机器人登记员,家庭医院中的跟踪芯片,疫苗接种办公室的机器人助理,它们对服务流程自动化的影响。人工智能对综合门诊患者和员工及综合门诊工作人员的影响。能够节省去看医生、陈述和指示的时间。通过引入神经网络,减少患者之间的接触,提高卫生标准。简化操作人员的工作,能够在更短的时间内完成更多的工作。消除向国家门户发送QR码时的错误。减少医务人员与患者之间的冲突。提高医疗机构福利水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Neural networks in medicine. Automation using artificial intelligence
Neural networks will help to improve and automate medicine, both in the treatment process itself and in the service part. After the introduction of neural networks (robots and chips), each polyclinic will be able to increase the level of efficiency. Three examples of the use of neural networks in the use of both technical equipment and medical techniques are presented. Some cons and pros of using artificial intelligence are considered. A brief description of the possible improvement of various aspects in the field of medicine is given. Robots-registrars in the infomat, Tracking chips in the home hospital, Robots-assistants in vaccination offices, their impact on the automation of service processes. The influence of artificial intelligence on patients and employees of general polyclinic and polyclinic staff. The ability to save time when going to the doctor, for statements and directions. Improving sanitary standards through the introduction of neural networks that reduce the contact of patients with each other. Simplification of operators' work, the ability to do more work in less time. Elimination of errors when sending QR codes to the state portal. Reducing conflicts between medical professionals and patients. Improving the welfare of medical institutions.
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