International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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India | Health and Medical Sciences | Volume 14 Issue 8, August 2025 | Pages: 1262 - 1268


Artificial Intelligence in Diabetes Management: A Scoping Review on Enhancing Treatment Adherence Among South Asian Patients

Md Kamran Khan

Abstract: Type 2 diabetes mellitus (T2DM) continues to place a heavy burden on public health in South Asia, where sticking to lifelong treatment plans is often difficult. Over the past decade, artificial intelligence (AI) has emerged as a promising ally, helping clinicians and patients alike through personalised coaching, predictive insights and other digital health solutions. This scoping review collates and analyses the available research on AI-driven approaches that aim to strengthen treatment adherence among South Asian adults with T2DM. Evidence shows that AI-powered mobile apps, wearable sensors, conversational agents and telemedicine platforms can improve medication-taking habits, encourage healthier lifestyles and tighten glycaemic control. Predictive algorithms coupled with remote-monitoring tools further support proactive care by flagging high-risk individuals early and prompting timely intervention. Despite these benefits, large-scale adoption remains hampered by gaps in digital infrastructure, high start-up and maintenance costs, concerns over data privacy, and occasional resistance from healthcare professionals. In addition, many AI models have been developed using data from outside the region, raising questions about cultural fit and accuracy for South Asian populations. Tackling these challenges will require strategic investment in broadband and cloud capacity, targeted AI training for healthcare providers and robust regulatory frameworks to safeguard patient data. Policymakers, health institutions and technology developers must work together to design affordable, context-specific AI tools that slot seamlessly into existing care pathways. Future research should focus on culturally adapted algorithms, inclusive design and long-term evaluations of cost-effectiveness to ensure that AI fulfils its promise of better diabetes management and improved patient outcomes across South Asia.

Keywords: Artificial Intelligence, Digital Health Technologies, mHealth Applications, South Asia, Treatment Adherence, Type 2 Diabetes Mellitus

How to Cite?: Md Kamran Khan, "Artificial Intelligence in Diabetes Management: A Scoping Review on Enhancing Treatment Adherence Among South Asian Patients", Volume 14 Issue 8, August 2025, International Journal of Science and Research (IJSR), Pages: 1262-1268, https://www.ijsr.net/getabstract.php?paperid=SR25822141701, DOI: https://dx.doi.org/10.21275/SR25822141701


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