• Juan Li, Jin Huang, Lanbo Zheng, and Xia Li.
• Clinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Changsha, China.
• Front Public Health. 2020 Jan 1; 8: 173.

AbstractDespite the rapid development of science and technology in healthcare, diabetes remains an incurable lifelong illness. Diabetes education aiming to improve the self-management skills is an essential way to help patients enhance their metabolic control and quality of life. Artificial intelligence (AI) technologies have made significant progress in transforming available genetic data and clinical information into valuable knowledge. The application of AI tech in disease education would be extremely beneficial considering their advantages in promoting individualization and full-course education intervention according to the unique pictures of different individuals. This paper reviews and discusses the most recent applications of AI techniques to various aspects of diabetes education. With the information and evidence collected, this review attempts to provide insight and guidance for the development of prospective, data-driven decision support platforms for diabetes management, with a focus on individualized patient management and lifelong educational interventions.Copyright © 2020 Li, Huang, Zheng and Li.

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