Grand Rounds April 3, 2026: AI for Diabetes Prevention (Nestoras Mathioudakis, MD, MHS)

Speaker

Nestoras Mathioudakis, MD, MHS
Associate Professor of Medicine
Johns Hopkins University School of Medicine

Keywords

Artificial Intelligence; Diabetes; Prevention; Coaching; Automation

Key Points

  • Of the nearly 100 million U.S. adults with prediabetes, approximately 70% will progress to type 2 diabetes in their lifetime. The Diabetes Prevention Program (DPP), a gold-standard program focused on lifestyle interventions, has demonstrated a 58% reduction in diabetes incidence. However, an effort to implement the program nationally fails to reach 99% of eligible individuals.
  • The research team sought to investigate whether a fully automated, AI-based DPP could effectively replicate the outcomes of the human coach-based DPP and potentially bridge this access gap. This was the first trial comparing a fully automated versus human DPP. It adds to a limited evidence base evaluating AI interventions against established standards in medicine.
  • The research team found that the AI-driven DPP delivered without human intervention was non-inferior to the traditional human coach-based DPP. Participants in the AI-driven DPP arm had comparable health outcomes and adequate engagement – though they were less likely to express a preference for their intervention than those in the human coach-based arm. The study team concluded that diabetes prevention remains an implementation challenge, not an efficacy problem.

Discussion Themes

While absolute weight loss was modest when compared to the effect of new medications like GLP-1s, Dr. Dakis argued that lifestyle interventions remain more cost-effective and that future automation efforts may bridge the effectiveness gap.

In the future, large language models could bolster the trust and human connection lacking in fully automated digital interventions.

April 1, 2026: AI for Diabetes Prevention, in This Week’s Rethinking Clinical Trials Grand Rounds

In this Friday’s Rethinking Clinical Trials Grand Rounds, Nestoras Mathioudakis of the Johns Hopkins University School of Medicine will present “AI for Diabetes Prevention.”

The Grand Rounds session will be held on Friday, April 3, 2026, at 1:00 pm eastern.

Mathioudakis is an assistant professor of medicine at the Johns Hopkins University School of Medicine.

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Grand Rounds December 12, 2025: From Eligibility to Enrollment Without a Clinic Visit: The Eat Well Produce Prescription Trial for Patients with Diabetes at Risk of Food Insecurity (Connor Drake, PhD, MPA; Susan Spratt, MD; Abigail Rader, MS)

Speakers

Connor Drake, PhD, MPA
Research Health Scientist
Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT)
Durham VA Health System HSR&D
Assistant Professor
Department of Population Health Sciences
Duke University School of Medicine

Susan Spratt, MD
Department of Medicine
Division of Endocrinology, Metabolism, and Nutrition
Department of Family Medicine and Community Health
Duke University School of Medicine

Abigail Rader, MS
PhD Candidate
Department of Population Health Sciences
Duke University School of Medicine

Keywords

Food Insecurity; Groceries; Food as Medicine; Diabetes; Cardiovascular Health; Cardiovascular Disease; Cardiometabolic Health

Key Points

  • In 2022, an estimated 12.8% of American households experienced food insecurity (FI): a lack of consistent access to safe, nutritious, or sufficient food for every person in a household to live an active, healthy life. FI is also associated with increased cardiometabolic health risk. While promising interventions to improve food security (and, by extension, cardiometabolic health) exist, methodological limitations such as a lack of pragmatic designs limit conclusions on their effectiveness.
  • The Eat Well pragmatic trial sought to better understand the real-world effectiveness of a produce prescription program when it came to improving cardiometabolic health-related outcomes and utilization patterns. They found that Eat Well did not improve outcomes among diabetic patients at risk for food insecurity. However, an affirmative outreach approach supported rapid scaling of the program.
  • Produce prescription programs may require greater duration, dose, intensity, and attention to household and implementation factors, including a focus on different at-risk groups, to improve health outcomes. Reducing cost barriers to purchasing fruits and vegetables alone may not be sufficient to improve food security – at least, not enough to improve cardiometabolic health outcomes.

Discussion Themes

Based on initial descriptive analyses, the amount spent on the card had no significant clinical effect – even among the most adherent participants.

Patients often face multiple overlapping social needs (housing, transportation, etc.), and addressing food alone may not be enough for those with the highest complexity. While the intervention was kept simple for scalability’s sake, diabetes management likely requires a more integrated, multi-sector approach that looks at factors like food, exercise, medications, education, behavioral health support, and monitoring.

Future research should identify opportunities to improve implementation, test interventions in higher-risk populations, and collect additional details on patient-reported outcomes.

Grand Rounds April 1: ICD-Pieces: Improving Care for CKD, Diabetes and Hypertension in Health Systems (Miguel A. Vazquez, MD; George (Holt) Oliver, MD, PhD)

Speakers:

Miguel A. Vazquez, MD
Professor of Medicine
University of Texas Southwestern Medical Center
Dallas, TX

George (Holt) Oliver, MD, PhD
Vice President Clinical Informatics
Parkland Center for Clinical Innovation
Dallas, TX

 

Topic: ICD-Pieces: Improving Care for CKD, Diabetes and Hypertension in Health Systems

Date: Friday, April 1, 2022, 1:00-2:00 p.m. ET

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