AI-Powered Diabetes Prevention App Provides Similar Results to Human-Led Program
Johns Hopkins Medicine
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Contributed by: Kate Gamble
Summary
A study by Johns Hopkins Medicine and the Bloomberg School of Public Health has found that an AI-powered diabetes prevention program (DPP) reduces diabetes risk at levels comparable to traditional, human-led interventions. Published in JAMA, this phase III randomized controlled trial represents a significant advancement in the use of AI for managing prediabetes among the nearly 97.6 million adults affected in the United States. Both groups—AI and human-led—showed similar effectiveness, with approximately 31.7% of AI participants and 31.9% of those in the human group meeting CDC benchmarks over a year. This research highlights the potential of AI-driven solutions to complement and possibly transform diabetes prevention strategies in healthcare.
