{"id":257499,"date":"2025-10-28T23:07:17","date_gmt":"2025-10-28T23:07:17","guid":{"rendered":"https:\/\/www.newsbeep.com\/us\/257499\/"},"modified":"2025-10-28T23:07:17","modified_gmt":"2025-10-28T23:07:17","slug":"diabetes-prevention-could-ai-be-as-good-as-humans","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/us\/257499\/","title":{"rendered":"Diabetes prevention: Could AI be as good as humans?"},"content":{"rendered":"

Mario Aguilar covers technology in health care, including artificial intelligence, virtual reality, wearable devices, telehealth, and digital therapeutics. His stories explore how tech is changing the practice of health care and the business and policy challenges to realizing tech\u2019s promise. He\u2019s also the co-author of the free, twice weekly STAT Health Tech newsletter<\/a>. You can reach Mario on Signal at mariojoze.13.<\/p>\n

You\u2019re reading the web edition of STAT\u2019s Health Tech newsletter, our guide to how technology is transforming the life sciences.\u00a0Sign up to get it<\/a>\u00a0delivered in your inbox every Tuesday and Thursday.<\/p>\n

AI diabetes prevention app study shows promise<\/p>\n

An automated app designed to deliver a diabetes prevention intervention achieved similar results to a standard human-led version of the program in a study<\/a>. Diabetes prevention programs encourage lifestyle changes in people with prediabetes, and have been shown to reduce health risks of participants. However,\u00a0many people do not receive the intervention for a variety of reasons.<\/p>\n

The trial randomized half of the 368 participants to receive an app from Sweetch Health that offers prompts about weight management, physical activity, and nutrition.\u00a0The app\u2019s artificial intelligence personalizes messages to users based on information they log, for example about meals, and data collected from a wearable and digital scale. The app delivered both location- and goal-specific prompts, like encouraging a participant to pop into the gym when they are nearby. After 12 months, 31.7% of participants in this group hit the primary outcome of 5% weight loss, 4% weight loss plus 150 minutes of weekly physical activity, or a reduction in HbA1c of\u00a00.2 percentage points. That\u2019s nearly identical to the 31.9% who hit the primary outcome in a group that received a virtual version of the intervention that includes regular sessions with human coaches.<\/p>\n

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