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Behavioral Interventions Combining AI/ML and Personalized Medicine to Reduce Cardiovascular Risk - Randomized Controlled Trial
Who can join
Ages 18 and older · All sexes
Full eligibility criteria
Inclusion Criteria: * Stage I-II hypertension (average clinical readings of blood pressure over 140/90) * Adequate decisional capacity to make a choice about participating in this research study * Fully ambulatory (not requiring assistive device such as a cane, wheelchair, walker, etc.) Exclusion Criteria: * Pregnancy * Under age 18 years * Institutionalized individuals who are likely to be vulnerable * Dependent on supplemental oxygen
About the study
This study evaluates a new digital health program that uses artificial intelligence (AI) to help patients lower their blood pressure through personalized lifestyle recommendations. The program collects information about patients' daily habits and blood pressure readings, then uses AI to suggest lifestyle changes that may work best for each person. The study will measure how well this program works across different groups of patients and aims to improve the program design to make it more effective and easier to use. The program will be offered to diverse patients at UC San Diego Health, including people of different ages, genders, races/ethnicities, and economic backgrounds, as part of their regular healthcare services.
What is being tested
- Digital heath tool (other)
- Low-intensity recommendation (other)
- High-intensity recommendation (other)
Sponsor: National Bureau of Economic Research, Inc. · Participants: 3,000 · Started: Apr 10, 2026
Contact the study team
- Amanda Walker · Phone: 617-588-1445
Official record on ClinicalTrials.gov — NCT07725250
Locations in the U.S.
| California | University of California, San Diego, La Jolla |
Conditions
From ClinicalTrials.gov, data retrieved Sep 30, 2026. Each study sets its own eligibility; the study team decides who can join.