AI让胰岛素治疗更精准，能根据个人反应自动调剂量。
The Role of Artificial Intelligence in Enhancing Insulin Recommendations and Therapy Outcomes
- 用强化学习算法实现个性化胰岛素剂量动态调整。
- 现有系统仍面临数据隐私与算法透明度挑战。
- 适合关注智能医疗与糖尿病管理的研究者参考。
全球糖尿病发病率持续上升，亟需更有效的血糖管理方法。胰岛素输送系统已显著进步，人工智能（AI）在提升其精确性与适应性方面发挥关键作用。基于强化学习的AI算法可依据个体实时反应持续调整胰岛素剂量，实现个性化治疗。尽管如此，数据隐私、算法透明度及可及性等问题仍待解决。未来持续的技术进展与验证有望进一步改善治疗效果，为患者提供更高效、个性化的糖尿病管理方案。本文综述了当前策略、核心挑战与未来方向。
原文摘要 · Abstract (English)
The growing worldwide incidence of diabetes requires more effective approaches for managing blood glucose levels. Insulin delivery systems have advanced significantly, with artificial intelligence (AI) playing a key role in improving their precision and adaptability. AI algorithms, particularly those based on reinforcement learning, allow for personalised insulin dosing by continuously adapting to an individual's responses. Despite these advancements, challenges such as data privacy, algorithm transparency, and accessibility still need to be addressed. Continued progress and validation in AI-driven insulin delivery systems promise to improve therapy outcomes further, offering people more effective and individualised management of their diabetes. This paper presents an overview of current strategies, key challenges, and future directions.
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