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心血管疾病诊断技术的进步:公共卫生策略。

Technological Advances in the Diagnosis of Cardiovascular Disease: A Public Health Strategy.

机构信息

Facultad de Ingeniería, Universidad de Ibagué, Carrera 22 Calle 67, Ibagué 730002, Colombia.

Facultad de Ciencias Naturales y Matemáticas, Universidad de Ibagué, Carrera 22 Calle 67, Ibagué 730002, Colombia.

出版信息

Int J Environ Res Public Health. 2024 Aug 16;21(8):1083. doi: 10.3390/ijerph21081083.

Abstract

This article reviews technological advances and global trends in the diagnosis, treatment, and monitoring of cardiovascular diseases. A bibliometric analysis was conducted using the SCOPUS database, following PRISMA-ScR guidelines, to identify relevant publications on technologies applied in the diagnosis and treatment of cardiovascular diseases. An increase in scientific output since 2018 was observed, reflecting a growing interest in the technologies available for the treatment of cardiovascular diseases, with terms such as "telemedicine", "artificial intelligence", "image analysis", and "cardiovascular disease" standing out as some of the most commonly used terms in reference to CVDs. Significant trends were identified, such as the use of artificial intelligence in precision medicine and machine learning algorithms to analyse data and predict cardiovascular risk, as well as advances in image analysis and 3D printing. Highlighting the role of artificial intelligence in the diagnosis and continuous monitoring of cardiovascular diseases, showing its potential to improve prognosis and reduce the incidence of acute cardiovascular events, this study presents the integration of traditional cardiology methods with digital health technologies-through a transdisciplinary approach-as a new direction in cardiovascular health, emphasising individualised care and improved clinical outcomes. These advances have great potential to impact healthcare, and as this field expands, it is crucial to understand the current research landscape and direction in order to take advantage of each technological advancement for improving the diagnosis, treatment, and quality of life of cardiovascular patients. It is concluded that the integration of these technologies into clinical practice has important implications for public health. Early detection and personalised treatment of cardiovascular diseases (CVDs) can significantly reduce the morbidity and mortality associated with these diseases. In addition, the optimisation of public health resources through telemedicine and telecare can improve access to quality care. The implementation of these technologies can be a crucial step towards reducing the global burden of cardiovascular diseases.

摘要

本文综述了心血管疾病诊断、治疗和监测方面的技术进展和全球趋势。我们采用 SCOPUS 数据库,根据 PRISMA-ScR 指南进行了文献计量分析,以确定与心血管疾病诊断和治疗中应用的技术相关的出版物。自 2018 年以来,科学产出有所增加,这反映出人们对心血管疾病治疗可用技术的兴趣日益浓厚,“远程医疗”、“人工智能”、“图像分析”和“心血管疾病”等术语是 CVD 相关研究中最常用的术语之一。我们还确定了一些重要趋势,例如人工智能在精准医学和机器学习算法中的应用,以分析数据和预测心血管风险,以及图像分析和 3D 打印技术的进步。本文强调了人工智能在心血管疾病诊断和连续监测中的作用,展示了其改善预后和降低急性心血管事件发生率的潜力,提出了将传统心脏病学方法与数字健康技术相结合的方法——通过跨学科方法——作为心血管健康的新方向,强调个性化护理和改善临床结果。这些进展有可能对医疗保健产生重大影响,随着该领域的扩展,了解当前的研究格局和方向至关重要,以便充分利用每项技术进步,改善心血管患者的诊断、治疗和生活质量。总之,这些技术的整合对公共卫生具有重要意义。通过远程医疗和远程护理,早期发现和个性化治疗心血管疾病可以显著降低这些疾病相关的发病率和死亡率。此外,通过远程医疗和远程护理优化公共卫生资源可以改善获得高质量护理的机会。这些技术的实施可能是减少全球心血管疾病负担的关键步骤。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/284c/11354672/9e86f7bd9f56/ijerph-21-01083-g001.jpg

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