数字技术在未来医学中的应用

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引用次数: 1

摘要

近年来,数字和电信技术的并行发展为改进传统的医疗保健服务系统创造了充足的机会。新的医疗服务模式得到了科学发展和数字创新的支持。目的:通过在实际医学中引入数字技术的主要成果以及该领域技术进一步发展的可能性,提高医生和医疗保健管理人员的专业知识。方法:对2018-2022年美国国家医学图书馆在线医学文献检索系统MEDLINE中专业同行评议期刊的文章进行综述。本文关注临床医学中数字创新的应用,以及它们在肿瘤学、心脏病学、医学成像和其他医疗保健领域的成就。结果:本文讨论了主要的数字策略,这些策略是医生实际工作的一部分,并在医疗机构的患者和专家之间创建了新的工作流程和互动。关注计算机技术的进步及其对医疗保健质量构成的挑战。讨论了远程医疗的引入、结果验证的问题和人工智能应用的临床应用,以及未来发展的机遇。结论:包括人工智能算法、机器学习、图像识别、放射组学和远程医疗在内的新技术正在为发展新形式的医疗服务创造先决条件。远程医疗、基于服务器的应用程序和机器学习算法的结合可以为现代社会在确保世界各地健康未来方面面临的挑战提供同步解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation of digital technologies in the medicine of the future
The parallel development of digital and telecommunication technologies in recent years has created ample opportunities to improve traditional healthcare delivery systems. New models of healthcare services are supported by scientific developments and digital innovations. Objectives: To improve doctors’ expertise and healthcare managers with the main achievements of digital technologies introduction in practical medicine and the possibilities for further development of technologies in this area. Methodology: A review of articles from professional peer-reviewed journals in the online medical literature search system MEDLINE from the US National Library of Medicine for 2018-2022 was conducted. The article concerns the use of digital innovations in clinical medicine, their achievements in oncology, cardiology, medical imaging and other healthcare fields. Results: The article discusses the main digital strategies that are part of the practical work of doctors and create new workflows and interactions between patients and specialists of medical institutions. Attention is paid to the advances in computer technology and the challenges they pose to the quality of medical care. The introduction of telemedicine, problems of validation of results and clinical use of artificial intelligence applications, as well as opportunities for their development in the future are discussed. Conclusion: New technologies, including artificial intelligence algorithms, machine learning, image recognition, radiomics, and telemedicine, are creating the prerequisites for the development of new forms of healthcare delivery. The combination of telemedicine, server-based applications, and machine learning algorithms can provide a synchronised solution to the challenges faced by modern society in ensuring a healthy future around the world.
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