Nursing

Gerontology

Intensive care medicine

Type 2 diabetes

Health care

Endocrinology

Economics

Computer science

Coronavirus disease 2019 (COVID-19)

Glycemic

Postprandial

Infectious disease (medical specialty)

Internal medicine

Artificial intelligence

Intervention (counseling)

Medicine

Economic growth

Pandemic

Diabetes management

Disease

Diabetes mellitus

The American Journal of Medicine

Artificial intelligence (AI) is a fast-growing field and its applications to diabetes, a global pandemic, can reform the approach to diagnosis and management of this chronic condition. Principles of machine learning have been used to build algorithms to support predictive models for the risk of developing diabetes or its consequent complications. Digital therapeutics have proven to be an established intervention for lifestyle therapy in the management of diabetes. Patients are increasingly being empowered for self-management of diabetes, and both patients and health care professionals are benefitting from clinical decision support. AI allows a continuous and burden-free remote monitoring of the patient's symptoms and biomarkers. Further, social media and online communities enhance patient engagement in diabetes care. Technical advances have helped to optimize resource use in diabetes. Together, these intelligent technical reforms have produced better glycemic control with reductions in fasting and postprandial glucose levels, glucose excursions, and glycosylated hemoglobin. AI will introduce a paradigm shift in diabetes care from conventional management strategies to building targeted data-driven precision care.

Artificial Intelligence: The Future for Diabetes Care