Google notebookLM‘s dynamic duo attempts to summarize and synthesize three reports:
1. AI-Powered Lifestyle Intervention vs. Human Coaching in the Diabetes Prevention Program (JAMA, 2025)
This large U.S. randomized clinical trial led by Nestoras Mathioudakis compared a fully automated AI-powered Diabetes Prevention Program (DPP) with a traditional human-coach-led version. Conducted at Johns Hopkins (Baltimore, MD) and Reading Hospital (PA) between 2021–2024, it enrolled 368 adults with overweight or obesity and prediabetes. Published in JAMA (DOI: 10.1001/jama.2025.19563), the study found the AI-led program was noninferior to human coaching in helping participants reduce weight, increase activity, and lower HbA1c.
A related protocol paper by Mohammed S. Abusamaan et al., published in Trials (2024), outlines the design of this noninferiority RCT comparing the AI-DPP with the human-led DPP, detailing recruitment, randomization, and digital intervention components.
2. Automated vs. Human Health Coaching: Exploring Participant and Practitioner Experiences (Proc ACM Hum Comput Interact, 2021)
Led by Elliot G. Mitchell and colleagues, this qualitative study examined how people with Type 2 Diabetes (T2D) experienced health coaching from either a chatbot (“t2.coach”) or a human coach. Conducted via text messaging with participants from economically disadvantaged communities, the research found that even a scripted AI chatbot could deliver coaching experiences comparable to human support. Human coaches showed more empathy, while the AI was stronger in consistency and encouraging autonomy. The work appeared in Proceedings of the ACM on Human-Computer Interaction (2021).
3. Effects of Mobile Health Prompts on Self-Monitoring and Exercise Behaviors (JMIR Mhealth Uhealth, 2019)
This study, by Megan M. MacPherson and coauthors, analyzed how personalized mHealth prompts (texts, emails, notifications) affected exercise and self-tracking after a diabetes prevention program. The RCT involved 69 adults at risk for type 2 diabetes who had previously completed a DPP and were assigned to either HIIT or MICT exercise plans. Conducted in the U.S. and published in JMIR Mhealth Uhealth (2019), it showed that prompts significantly boosted both self-monitoring and exercise behaviors, especially in the first six months.
This podcast episode was produced by Elton Sherwin from publicly available sources and generated using AI engines.
Disclaimer: This podcast is for informational purposes only and is not a substitute for professional medical advice, diagnosis, or treatment. The hosts and AI engines consulted are not healthcare professionals and do not hold medical degrees.
AI-generated summaries may contain factual errors, omissions and mispronunciations. This information is intended solely as a conversation starter; it should never be relied upon as the sole basis for making medical decisions. Consult a licensed doctor or healthcare professional before making any health-related changes.
