Advancing Diabetes Diagnosis in South India Using Artificial Intelligence: A Hub-and-Spoke Model for Early Intervention.

Abstract

Diabetes mellitus, a non-communicable metabolic disorder, is a significant global health concern, with rising prevalence rates resulting in increased economic burdens on healthcare systems. Early detection and diagnosis are crucial for preventing severe complications. Artificial Intelligence (AI) offers immense potential to revolutionize diabetes management and early detection. This study aims to understand the factors influencing medical professionals' adoption of AI-based tools for diabetes intervention, develop predictive models to identify potential adopters and propose a Hub-and-Spoke model for diabetes screening in South India, particularly in segments with a predominantly rice-based diet. By leveraging machine learning techniques, the study identifies key demographic and professional factors that predict AI adoption intent. The proposed Hub-and-Spoke model addresses logistical challenges in diabetes screening, particularly in underserved regions. This research contributes to the global effort to combat diabetes, improve healthcare outcomes, and optimize resource allocation.