Artificial Intelligence in the Management of Chronic Diseases: Opportunities, Challenges, and Future Directions

Main Article Content

Ningxin Zhou
University College London, Gower Street, London, United Kingdom

DOI: https://doi.org/10.70267/ic-aimees.20260414420

Keywords

artificial intelligence, chronic disease management, clinical decision support, remote patient monitoring, digital therapeutics

Abstract

Chronic diseases represent one of the foremost global health burdens, requiring long-term, coordinated strategies for management. Traditional chronic disease management models, primarily reliant on periodic follow-ups and acute medical interventions, often struggle to address the persistent and complex nature of chronic conditions. In recent years, artificial intelligence (AI) has been introduced as an emerging technology within chronic disease management, playing a significant role in continuous data monitoring, risk prediction, and clinical decision support methodologies. This paper systematically reviews the application of AI in chronic disease management, analysing the potential advantages, functional positioning, and current landscape. By synthesising existing research, it aims to investigate AI's functional role within chronic disease management. AI applications primarily concentrate on continuous monitoring and risk prediction, while also supporting clinician-assisted decision-making and remote health management. Overall, AI offers novel technological support for chronic disease management, yet AI development remains in a transitional phase from technical exploration to systemic integration. Further refinement is required in model interpretability, data security, and fairness. The key to transforming these auxiliary tools into integral components of long-term management systems lies in advancing the development of safe, reliable, and trustworthy AI.

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Published
Jul 1, 2026
Conference Proceedings Volume
Vol. 14 (2026): Proceedings of the 2nd International Conference on Artificial Intelligence, Modern Engineering and Environmental Sustainability (IC-AIMEES 2026)
Section
Articles
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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Zhou, Ningxin. “Artificial Intelligence in the Management of Chronic Diseases: Opportunities, Challenges, and Future Directions”. Exploring Science Academic Conference Series, vol. 14, July 2026, pp. 414-20, https://doi.org/10.70267/ic-aimees.20260414420.