An Integrated Digital Health Care Platform for Diabetes Management With AI-Based Dietary Management: 48-Week Results...

Area of Science:

• Endocrinology
• Digital Health
• Artificial Intelligence

Background:

• Type 2 diabetes (T2D) management requires continuous patient engagement and personalized interventions.
• Traditional care models often face challenges in providing consistent dietary support and monitoring.

Purpose of the Study:

• To evaluate the efficacy of an integrated digital health care platform featuring AI-driven dietary management for adults with T2D.
• To compare the effects of the digital platform, with and without staff feedback, against routine care on glycemic control and weight.

Main Methods:

• A 48-week, open-label, randomized multicenter trial involving 294 overweight/obese adults with T2D.
• Participants were assigned to routine care, the digital platform alone, or the platform with staff feedback and continuous glucose monitoring.
• Primary endpoint: change in HbA1c at 24 weeks; secondary endpoints: HbA1c at 48 weeks and body weight changes.

Main Results:

• Both digital platform groups showed significantly greater reductions in HbA1c at 24 and 48 weeks compared to routine care.
• Participants using the digital platform experienced greater weight loss than the routine care group.
• Group C (platform with feedback and CGM) showed the most significant weight reduction by week 48.

Conclusions:

• Integrated digital health platforms with AI dietary management enhance glycemic control in T2D.
• This technology facilitates significant weight loss, contributing to better overall diabetes management.
• AI-driven digital health solutions represent a valuable tool for improving T2D outcomes.