Department of Biomedical Engineering, Technion─Israel Institute of Technology, Haifa 3200003, Israel.
Department of Chemical Engineering and the Russell Berrie Nanotechnology Institute, Technion─Israel Institute of Technology, Haifa 3200003, Israel.
ACS Sens. 2024 Jun 28;9(6):2777-2792. doi: 10.1021/acssensors.4c00636. Epub 2024 May 22.
This article reviews the revolutionary impact of emerging technologies and artificial intelligence (AI) in reshaping modern healthcare systems, with a particular focus on the implementation of mobile diagnostic clinics. It presents an insightful analysis of the current healthcare challenges, including the shortage of healthcare workers, financial constraints, and the limitations of traditional clinics in continual patient monitoring. The concept of "Mobile Diagnostic Clinics" is introduced as a transformative approach where healthcare delivery is made accessible through the incorporation of advanced technologies. This approach is a response to the impending shortfall of medical professionals and the financial and operational burdens conventional clinics face. The proposed mobile diagnostic clinics utilize digital health tools and AI to provide a wide range of services, from everyday screenings to diagnosis and continual monitoring, facilitating remote and personalized care. The article delves into the potential of nanotechnology in diagnostics, AI's role in enhancing predictive analytics, diagnostic accuracy, and the customization of care. Furthermore, the article discusses the importance of continual, noninvasive monitoring technologies for early disease detection and the role of clinical decision support systems (CDSSs) in personalizing treatment guidance. It also addresses the challenges and ethical concerns of implementing these advanced technologies, including data privacy, integration with existing healthcare infrastructure, and the need for transparent and bias-free AI systems.
这篇文章回顾了新兴技术和人工智能 (AI) 在重塑现代医疗保健系统方面的革命性影响,特别关注移动诊断诊所的实施。它对当前医疗保健面临的挑战进行了深入分析,包括医疗工作者短缺、资金限制以及传统诊所在持续患者监测方面的局限性。引入了“移动诊断诊所”的概念,将其作为一种通过整合先进技术使医疗保健服务普及的变革性方法。这种方法是对即将出现的医疗专业人员短缺以及传统诊所面临的财务和运营负担的回应。拟议的移动诊断诊所利用数字健康工具和人工智能提供广泛的服务,从日常筛查到诊断和持续监测,促进远程和个性化护理。文章深入探讨了诊断中的纳米技术潜力、人工智能在增强预测分析、诊断准确性和护理定制方面的作用。此外,文章还讨论了持续、非侵入性监测技术在早期疾病检测中的重要性以及临床决策支持系统 (CDSS) 在个性化治疗指导中的作用。它还解决了实施这些先进技术面临的挑战和伦理问题,包括数据隐私、与现有医疗保健基础设施的集成以及对透明和无偏差人工智能系统的需求。