Halpern Gabriele A, Nemet Marko, Gowda Diksha M, Kilickaya Oguz, Lal Amos
Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN, USA.
J Yeungnam Med Sci. 2025;42:9. doi: 10.12701/jyms.2024.01053. Epub 2024 Nov 25.
Artificial intelligence (AI) has shown promise for revolutionizing healthcare. This narrative review focuses on the evolving discussion of the utility of AI and clinical informatics in critical care and acute care medicine, specifically focusing on digital twin (DT) technology. The improved computational power and iterative validation of these intelligent tools have enhanced medical education, in silico research, and clinical decision support in critical care settings. Integrating DTs into critical care opens vast opportunities, but simultaneously poses complex challenges, from data safety and privacy concerns to potentially increasing healthcare disparities. In medicine, DTs can significantly improve the efficiency of critical care systems. Stakeholder investment is essential for successful implementation and integration of these technologies.
人工智能（AI）已展现出变革医疗保健的潜力。这篇叙述性综述聚焦于人工智能和临床信息学在重症监护和急性护理医学中效用的不断演变的讨论，特别关注数字孪生（DT）技术。这些智能工具提升的计算能力和迭代验证增强了医学教育、虚拟研究以及重症监护环境中的临床决策支持。将数字孪生整合到重症监护中带来了巨大机遇，但同时也带来了复杂挑战，从数据安全和隐私问题到可能加剧医疗保健差距。在医学领域，数字孪生可以显著提高重症监护系统的效率。利益相关者的投资对于这些技术的成功实施和整合至关重要。
