Background:
Diabetes mellitus is a chronic condition that impacts millions of individuals globally, resulting in considerable morbidity and mortality. Effective diabetes management necessitates continuous monitoring and personalized treatment strategies to prevent complications. Traditional methods often do not provide timely and accurate interventions.
Artificial intelligence technologies, such as machine learning (ML) and deep learning (DL), have become useful tools to improve diabetes management by analyzing vast amounts of data and providing actionable insights. Materials and Methods: The literature review involved a thorough examination of indexed databases like PubMed, Scopus, and EMBASE, focusing on English-language studies without time constraints. The search used keywords such as "AI in diabetes management," "machine learning for diabetes," and "predictive analytics in diabetes care." Relevant data extracted from these studies included study design,
AI methodologies, patient outcomes, and limitations. Results:
AI is improving diabetes management by enhancing diagnostic accuracy for complications like diabetic retinopathy and neuropathy through image analysis and predictive modeling. It also enables personalized treatment plans by analyzing patient data to optimize medication and dietary recommendations. Additionally,
AI applications boost patient engagement by offering real-time feedback and reminders, which improves adherence to treatment. Overall, the use of
AI in diabetes care can reduce healthcare costs by preventing hospitalizations and complications through proactive management. Conclusion: The importance of artificial intelligence in managing diabetes mellitus is considerable, providing creative solutions that enhance patient results and optimize healthcare processes. Although issues like data privacy and bias in algorithms persist, the advantages of
AI in diabetes management are considerable. Future studies should focus on extensive clinical trials to confirm the effectiveness of
AI applications and tackle ethical issues.
