Behavioral Interventions Combining AI/ML and Personalized Medicine to Reduce Cardiovascular Risk - Randomized Controlled Trial

Recruiting now · Not applicable

Conditions studied: Hypertension

In brief

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.

Key facts

Study ID

NCT07725250

Run by

National Bureau of Economic Research, Inc.

People needed

3000

Starts

2026-04-10

Expected to finish

2027-04-30

Last updated by the study team

2026-07-24

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• 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.)

You may not qualify if…

• Pregnancy
• Under age 18 years
• Institutionalized individuals who are likely to be vulnerable
• Dependent on supplemental oxygen

Where it is running

• University of California, San Diego — La Jolla, California, United States (enrolling)

Full record on ClinicalTrials.gov

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