Liu Zhi-Yong, Kuo Chang-Fu
Center for Artificial Intelligence in Medicine, Chang Gung Memorial Hospital, Research Building 3rd Floor, No.15 Wenhua 1st Road, Guishan District, Taoyuan City 333, Taiwan.
Center for Artificial Intelligence in Medicine, Chang Gung Memorial Hospital, Research Building 3rd Floor, No.15 Wenhua 1st Road, Guishan District, Taoyuan City 333, Taiwan; Center for Molecular and Clinical and Immunology, Institute of Immunology and Translational Medicine, Chang Gung University, Taoyuan, Taiwan; Division of Rheumatology, Allergy and Immunology, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
Hand Clin. 2026 Feb;42(1):65-74. doi: 10.1016/j.hcl.2025.08.008. Epub 2025 Sep 13.
Personalized medicine harnesses individuals' genetic, environmental, and lifestyle information to deliver targeted treatment strategies. Driven by advances in genomics and the integration of artificial intelligence (AI), this approach enables precise diagnosis, optimized therapeutics, and improved patient outcomes. AI-driven tools, such as predictive analytics, machine learning, and real-time monitoring, can facilitate early detection of diseases, enhance drug discovery, and support adaptive therapies. Future enhancements in AI-driven personalized medicine promise to transform the conventional one-size-fits-all health care paradigm and, thus, establish more cost-effective, patient-centered modalities capable of improving clinical outcomes and quality of care on a global scale.
个性化医疗利用个人的基因、环境和生活方式信息来提供针对性的治疗策略。在基因组学进展和人工智能（AI）整合的推动下，这种方法能够实现精准诊断、优化治疗方案并改善患者预后。诸如预测分析、机器学习和实时监测等人工智能驱动的工具，可以促进疾病的早期检测、加强药物研发并支持适应性治疗。人工智能驱动的个性化医疗在未来的改进有望改变传统的一刀切式医疗模式，从而建立更具成本效益、以患者为中心的模式，能够在全球范围内改善临床结果和医疗质量。
