Nie Jia, Haft Carol, Xia Ashley, Wang Xujing
Division of Diabetes, Endocrinology, and Metabolic Diseases, the National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD.
Office of Data Science Strategy, Division of Program Coordination, Planning, and Strategic Initiatives, Office of the Director, National Institutes of Health, Bethesda, MD.
NEJM AI. 2025 Sep;2(9). doi: 10.1056/AIp2500475. Epub 2025 Aug 28.
Diabetes has become a major public health challenge due to its high prevalence and chronic nature, with many individuals managing the condition for decades. The vast heterogeneity in diabetes necessitates personalized approaches to its prevention, diagnosis, treatment, and prognosis. Recently, the National Institute of Diabetes and Digestive and Kidney Diseases at the National Institutes of Health convened experts from the fields of diabetes and AI to identify and discuss existing gaps, as well as potentially transformative opportunities and actionable items enabled by recent advancements in AI. One prominent theme that has emerged from this discussion was the considerable potential of AI in Diabetes Precision Health, a field that warrants greater attention. The purpose of this article is to describe the opportunities and challenges identified during the workshop and outline potential strategies recommended by workshop attendees to advance this promising field.
由于糖尿病的高患病率和慢性特征,它已成为一项重大的公共卫生挑战,许多患者需要管理病情数十年。糖尿病存在极大的异质性,因此需要针对其预防、诊断、治疗和预后采取个性化方法。最近,美国国立卫生研究院的国立糖尿病、消化和肾脏疾病研究所召集了糖尿病和人工智能领域的专家,以识别和讨论现有差距,以及人工智能近期进展所带来的潜在变革性机遇和可采取行动的事项。此次讨论中出现的一个突出主题是人工智能在糖尿病精准健康领域具有巨大潜力,这一领域值得更多关注。本文旨在描述研讨会期间确定的机遇和挑战,并概述研讨会参与者推荐的推进这一前景广阔领域的潜在策略。