预防和个性化医疗保健的下一个前沿:人工智能驱动的解决方案。

Nurittin Ardic, Rasit Dinc
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引用次数: 0

摘要

人工智能(AI)技术具有显著提高诊断准确性、优化治疗策略和改善患者预后的潜力。他们通过提供数据驱动的见解,正在彻底改变预防和个性化医疗领域。人工智能能够比传统方法更快、更方便地分析基因组、环境和生活方式信息等大型复杂数据集。人工智能中的先进算法架构可以预测疾病风险,识别生物标志物,并根据个人需求定制干预措施。人工智能在实时监控、预测分析和药物发现方面的支持作用显示了其在医疗保健领域的变革潜力。人工智能在多组学整合、可穿戴技术和精准治疗方面的作用有望重新定义全球医疗保健范式,使个性化医疗更容易获得和有效。然而,为了确保公平透明的实施,需要解决的伦理问题包括数据隐私、算法偏见和监管漏洞。本文探讨了人工智能技术与个性化医疗保健的集成。该研究还强调了跨学科合作的必要性,以最大限度地发挥人工智能在预防性和个性化医疗保健方面的效益,并克服障碍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Next Frontiers in Preventive and Personalized Healthcare: Artificial Intelligent-Powered Solutions.

Artificial intelligence (AI)-enabled technologies have the potential to significantly increase diagnostic accuracy, optimize treatment strategies, and improve patient outcomes. They are revolutionizing the field of preventive and personalized medicine by providing data-driven insights. AI is capable of analyzing large and complex datasets such as genomic, environmental, and lifestyle information much faster and more conveniently than traditional methods. Advanced algorithmic architectures in AI can predict disease risks, identify biomarkers, and tailor interventions to individual needs. The enabling role of AI in real-time monitoring, predictive analysis, and drug discovery demonstrates its transformative potential in healthcare. The role of AI in multi-omics integration, wearable technologies, and precision therapies promises to redefine global healthcare paradigms, making personalized medicine more accessible and effective. However, ethical concerns that need to be addressed to ensure fair and transparent implementation include data privacy, algorithmic bias, and regulatory gaps. This article examines the integration of AI technologies with personalized healthcare. The study also highlights the need for interdisciplinary collaboration to maximize the benefits of AI in preventive and personalized healthcare and overcome barriers.

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