人工智能驱动的糖尿病预防计划显示出与人类主导的糖尿病预防计划类似的好处

作者：Rebekah Mikeasky

An AI-powered lifestyle intervention app for prediabetes reduced the risk of diabetes similarly to traditional, human-led programs in adults in a recent study, researchers from Johns Hopkins Medicine and the Johns Hopkins Bloomberg School of Public Health report.

Funded by the National Institutes of Health and published in JAMA on Oct. 27, the study is believed to be the first phase III randomized controlled clinical trial to demonstrate that an AI-powered diabetes prevention program app helps patients meet diabetes risk-reduction benchmarks established by the Centers for Disease Control and Prevention at rates comparable to those in human-led programs.

An estimated 97.6 million adults in the United States have prediabetes, a condition in which blood sugar levels are above normal but below the threshold for type 2 diabetes, putting them at increased risk of developing type 2 diabetes within the next five years. Previous research has shown that adults with prediabetes who complete a human-led diabetes prevention program, which help participants make lifestyle changes to diet and exercise, are 58% less likely to develop type 2 diabetes, as shown in the CDC's original Diabetes Prevention Program clinical study.然而，诸如日程安排冲突和可用性等访问障碍限制了这些计划的覆盖范围。

Of the approximately 100 CDC-recognized digital diabetes prevention programs available, AI-powered programs represent only a minor subset, and data demonstrating their effectiveness compared with human-led programs is lacking.

"Even beyond diabetes prevention research, there have been very few randomized controlled trials that directly compare AI-based, patient-directed interventions to traditional human standards of care."

内斯托拉斯·马修达基斯