The Role of Artificial Intelligence in Enhancing Insulin Recommendations and Therapy Outcomes

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.

@article{panagiotou2025_2503.18592,
  title={ The Role of Artificial Intelligence in Enhancing Insulin Recommendations and Therapy Outcomes },
  author={ Maria Panagiotou and Knut Stroemmen and Lorenzo Brigato and Bastiaan E. de Galan and Stavroula Mougiakakou },
  journal={arXiv preprint arXiv:2503.18592},
  year={ 2025 }
}