ClinicalTrials.gov
public full text
Public Domain
AI Activity Study in Patients With Elevated Blood Pressure
In this pilot RCT, a total of 40 adults with hypertension will be randomized to either an artificial intelligence (AI) physical activity intervention group or an active control group with a 1 to 1 ratio after completing a 2-week run-in period and 4-week training. The AI intervention group will receive an automated and personalized daily step goal intervention involving a sophisticated activity analytics algorithm using advanced statistics and machine learning, while the active control group will receive a standardized and fixed 10,000 daily steps goal. Both groups will receive an identical smartphone app (app content differs between the two groups) and ActiGraph GT9X Link to assess objectively measured physical activity (primary outcome) during the study period.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Activity-Aware Prompting to Improve Medication Adherence in Heart Failure Patients#875383
- TIMELY: a Patient-centred Lifestyle Program for Patients With Coronary Artery Disease#885830
- Predicting Hospital Readmission for Surgical Patients Using Deep Learning Models With Smart Watch and Smart Ring Sensors Data#853425
- Stepping Up: A Trial of Activity Monitoring Devices in Patients Undergoing Autologous Stem Cell Transplant#828646
- The SKyRoCKeT Study#833839
Record · ID 1165119
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive