A study conducted in India by Karnataka Diabetes Research Society of India (KRSSDI) has shown that the use of artificial intelligence (AI) in diabetes management can significantly improve health outcomes for people with type 2 diabetes.
This study investigated how AI-powered precision care, combined with remote monitoring, can help patients manage their blood sugar and improve their overall health. Over 90 days, 725 adults with type 2 diabetes between the ages of 20 and 70 participated in the program, which provides customized care plans based on test results, lifestyle, and other personal factors. Patients were able to follow the program via a mobile app and continually update and adjust their treatment as they progressed.
The study was led by Dr. Manohar KN, Chairman, Disha India. Vijay Kumar K, Honorary Secretary, KRSSDI. Dr. Suman R, past president of KRSSDI, has been accepted by the International Diabetes Federation for presentation at the 2025 conference to be held in Bangkok. “This study demonstrates the transformative impact of AI in diabetes care. AI-driven approaches can improve quality of life while managing type 2 diabetes by making healthcare more accurate and accessible. It has the potential to improve significantly,” said Dr. Manohar.
Main results
Key results of the study include significant reductions in blood sugar levels. Average HbA1c, a measure of blood sugar control, fell by 1.2% from an initial average of 8.8%. Fasting blood sugar levels and postprandial blood sugar levels also decreased by 40 mg/dL and 83 mg/dL, respectively. In addition to improved blood sugar levels, patients also saw significant changes.
By making medicine more precise, AI-powered approaches have the potential to significantly improve quality of life while managing type 2 diabetes.
– Dr. Manohar
This study also showed promising trends in medication management. More than half of participants using insulin were able to discontinue insulin, and 30% reduced their insulin dose. Among those taking oral medication, 67% were able to maintain their dose, 25% reduced the dose, and 5% were able to stop the drug completely.
The researchers emphasized that the role of AI in diabetes management goes beyond just coordinating treatment. This technology provides a continuing education component to help patients better understand and manage their condition. Remote monitoring allows healthcare providers to provide real-time guidance, improving the overall patient experience and self-care efforts.
