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After 12 months, 31.7% of the AI group and 31.9% of the human-coaching group met the combined goal for weight loss, physical activity or HbA1c reduction. That result met the prespecified noninferiority margin. More people started the AI program (93.4% against 82.7%) and more completed it (63.9% against 50.3%). The National Institute of Diabetes and Digestive and Kidney Diseases funded the trial. Sweetch was paid to deliver the program and took no part in the analysis. The human programs ran remotely because of COVID-19, and the trial measured risk factors in place of new cases of diabetes.","category":"general benefit","unexpected":false,"purpose":"The Sweetch program was built to deliver the Diabetes Prevention Program lifestyle intervention without human coaches. The measured benefit is that purpose.","system":"Sweetch AI-led Diabetes Prevention Program app","model_version":null,"developer":"Sweetch Health, Ltd","deployer":"Johns Hopkins Medicine AI-DPP study (sites in Baltimore and at Reading Hospital, Tower Health)","location":"Baltimore, Maryland, and Reading, Pennsylvania, United States","domain":"Healthcare","segment":null,"benefit_type":"Increased Scalability","taxonomy_note":null,"registry_ids":{},"ratings":[{"group":"personal","depth":2,"reason":"31.7% of people referred to the AI program reached the weight, activity or HbA1c goal, the same share as with human coaching."},{"group":"societal","depth":null,"reason":"The higher start rate was measured among the 368 trial participants, and no source documents a change in reach beyond the trial."}],"ai_role":{"status":"assessed","statement":"Participants were randomized to the AI-led program or to human-led programs. The comparison isolates the automated program against human delivery. It does not separate the learning algorithm from the app's other features."},"evidence":[{"kind":"peer-reviewed study","citation":"Mathioudakis N, Lalani B, Abusamaan MS, et al. An AI-Powered Lifestyle Intervention vs Human Coaching in the Diabetes Prevention Program: A Randomized Clinical Trial. JAMA 2025;334(23):2079-2089. doi:10.1001/jama.2025.19563.","title":"An AI-Powered Lifestyle Intervention vs Human Coaching in the Diabetes Prevention Program: A Randomized Clinical Trial","url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12560030","date":"2025-10-27","written_by":"independent","quote":"The primary outcome was achieved by 58 of 183 participants (31.7%) in the AI-led DPP group and 59 of 185 (31.9%) in the human-led DPP group"}],"replication":{"produced_by":["Participants received a Bluetooth scale and the app within 8 to 12 days of referral.","A reinforcement learning algorithm chose the timing and content of messages from logged and passive data.","No human coach took part in the AI arm."],"must_hold":["Participants own a smartphone and keep using the app for months.","Clinicians refer adults with prediabetes to the program."],"echoes":[]},"paired_incident":null,"headline":"An automated diabetes prevention app did as well as human coaches","metric":"31.7% of the AI group and 31.9% of the human-coaching group met the combined goal","comparator":{"against":"Referral to CDC-recognized human-led diabetes prevention programs","before":"82.7% started the human-led program","after":"93.4% started the AI-led program","basis":"measured","quote":"After referral, 171 of 183 participants (93.4%) initiated the AI-led DPP and 153 of 185 (82.7%) initiated the human-led DPP.","url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12560030"},"later":null,"value":null,"developer_country":"Israel","deployer_country":"United States","unrated_because":null,"brief_notes":null,"brief":null,"revisions":[{"date":"2026-10-29","change":"Added the case.","source":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12560030","editor":"AIBD"},{"date":"2026-10-29","change":"Revised the depth ratings.","source":null,"editor":"AIBD"}],"confidence":"studied","shade":"high","claim_status":"Independently studied","claim_basis":"Sources: one independent peer-reviewed study. 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