摘要
背景:在现实世界中,医疗实践正在随着新的人工智能 (AI) 系统的发展而发生变化,并且使用 AI 算法成功解决了来自不同领域的问题。具体而言,就疾病发现和定制治疗的准确性而言,使用人工智能技术建立或构建精准医学具有重要意义。此外,通过使用技术,临床人员可以提供非常有效的医疗保健服务。 目标:本文回顾了人工智能在心血管疾病管理方面的最新进展,重点关注诊断和治疗方面的改进。 方法:为此,我们对来自心脏病学不同领域的 AI 应用进行了详细的 PubMed 搜索:心力衰竭、动脉高血压、心房颤动、晕厥和心血管康复。特别是,为了评估这些技术在临床决策中的影响,本研究考虑了技术和医学方面。 结果:一方面,心力衰竭、心房颤动和心脏康复中的一些设备代表了在这些领域进行长期监测和管理的廉价、非侵入性或非侵入性方法。另一方面,大数据集(大数据)的可用性是预测许多心血管疾病的发展和结果的有用工具。总之,通过这种新的引导疗法,医生可以提供及时、个性化和量身定制的治疗,并且患者在持续监测时感到安全,并具有显着的心理影响。 结论:很快,通过远程监控定制的患者护理可以改善临床实践,因为基于人工智能的系统支持心脏病专家的日常医疗活动,改善疾病检测和治疗。然而,医患关系仍然是关键的一步。
关键词: 医学人工智能、患者监护、个性化治疗、精准医学、CardioMEMS、大数据、机器学习、神经网络。
Current Medicinal Chemistry
Title:Artificial Intelligence as a Business Partner in Cardiovascular Precision Medicine: An Emerging Approach for Disease Detection and Treatment Optimization
Volume: 28 Issue: 32
关键词: 医学人工智能、患者监护、个性化治疗、精准医学、CardioMEMS、大数据、机器学习、神经网络。
摘要:
Background: In the real world, medical practice is changing hand in hand with the development of new Artificial Intelligence (AI) systems and problems from different areas have been successfully solved using AI algorithms. Specifically, the use of AI techniques in setting up or building precision medicine is significant in terms of the accuracy of disease discovery and tailored treatment. Moreover, with the use of technology, clinical personnel can deliver a very much efficient healthcare service.
Objective: This article reviews AI state-of-the-art in cardiovascular disease management, focusing on diagnostic and therapeutic improvements.
Methods: To that end, we conducted a detailed PubMed search on AI application from distinct areas of cardiology: heart failure, arterial hypertension, atrial fibrillation, syncope and cardiovascular rehabilitation. Particularly, to assess the impact of these technologies in clinical decision-making, this research considers technical and medical aspects.
Results: On one hand, some devices in heart failure, atrial fibrillation and cardiac rehabilitation represent an inexpensive, not invasive or not very invasive approach to long-term surveillance and management in these areas. On the other hand, the availability of large datasets (big data) is a useful tool to predict the development and outcome of many cardiovascular diseases. In summary, with this new guided therapy, the physician can supply prompt, individualised, and tailored treatment and the patients feel safe as they are continuously monitored, with a significant psychological effect.
Conclusion: Soon, tailored patient care via telemonitoring can improve clinical practice because AI-based systems support cardiologists in daily medical activities, improving disease detection and treatment. However, the physician-patient relationship remains a pivotal step.
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Cite this article as:
Artificial Intelligence as a Business Partner in Cardiovascular Precision Medicine: An Emerging Approach for Disease Detection and Treatment Optimization, Current Medicinal Chemistry 2021; 28 (32) . https://dx.doi.org/10.2174/0929867328666201218122633
DOI https://dx.doi.org/10.2174/0929867328666201218122633 |
Print ISSN 0929-8673 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-533X |
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