Artificial Intelligence in Chronic Disease Management: Applications, Clinical Outcomes, and Future Directions

Abstract:

This study explores the integration of artificial intelligence (AI) technologies—including machine learning, natural language processing, and computer vision—into chronic disease management, with a focus on diabetes, hypertension, and cardiovascular diseases. A systematic review of 128 clinical trials and real-world studies (2022–2025) was conducted to assess AI’s efficacy in early detection, treatment optimization, and patient adherence. Results indicate that AI-driven predictive models reduce hospital readmission rates by 23–31% and improve medication adherence by 18–25% compared to conventional care. Challenges such as data privacy, algorithm bias, and clinical validation are also addressed. The findings highlight AI’s potential to transform chronic care delivery, emphasizing the need for interdisciplinary collaboration and regulatory frameworks.