Using AI to manage diabetes improves outcomes: Cleveland Clinic study

A bundled, AI-enabled health coaching program significantly improved outcomes in adults with Type 2 diabetes, a recent Cleveland Clinic study found.

The intervention, developed by Twin Health, used wearable devices and a smartphone app to deliver personalized nutrition and exercise guidance, combined with telecoaching, according to an Aug. 20 news release.

Results, published Aug. 20 in the New England Journal of Medicine Catalyst, showed that 71% of patients using the intervention lowered their A1C below 6.5% while taking only metformin. In comparison, 2.4% of those receiving standard care met the same threshold. Participants in the intervention group also lost more weight on average (8.6% vs. 4.6%).

The study included 150 patients treated in primary care settings — 100 assigned to the intervention group and 50 to standard care. On average, participants were 58.5 years old, had lived with Type 2 diabetes for nine years, and had a baseline A1C of 7.2% and BMI of 35.1.

The intervention group also saw sharp reductions in the use of glucose-lowering medications. GLP-1 receptor agonist use dropped from 41% to 6%, SGLT-2 inhibitors from 27% to 1%, DPP-4 inhibitors from 33% to 3%, and insulin from 24% to 13%.

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