Can artificial intelligence bridge gaps in primary diabetes care for LMICs?
Key Highlights
Medicine · Diabetes & Endocrinology
This Personal View published in The Lancet examines how artificial intelligence (AI) could improve primary diabetes care in low-income and middle-income countries (LMICs), where the disease burden is high but healthcare resources are limited. The authors discuss emerging evidence that AI may be useful for screening, risk prediction, monitoring, and personalized management of diabetes and its complications. For a clinician leading diabetes care at a major Indian hospital and national diabetes organization, this analysis is highly relevant as it directly addresses systemic challenges in resource-constrained settings like India, while also delineating barriers such as infrastructure deficits, data fragmentation, and regulatory oversight that must be overcome for meaningful implementation.
Novelty: 88%
Rigor: 90%
Significance: 92%
Validity: 91%
Clarity: 95%
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