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AI vs. high blood pressure: smart software aims to personalize treatment

NCT ID NCT06828692

First seen Feb 21, 2026 · Last updated Jun 19, 2026 · Updated 18 times

Summary

This study tests whether artificial intelligence (AI) can help doctors in China pick better blood pressure medications for their patients. Over 2,000 adults with high blood pressure will be treated at primary care clinics. Some clinics will use AI software that considers patient data and guidelines, while others will use standard care. The goal is to see if the AI tools help more patients reach their blood pressure targets faster and with fewer medications.

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This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.

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Contacts and locations

Study contacts

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

Locations

  • Fuwai Shenzhen Hospital, Chinese Academy of Medical Sciences

    RECRUITING

    Shenzhen, Shenzhen, China

    Contact Phone: •••-•••-•••• Email: •••••@•••••

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance

Clinical decision support system (CDSS) using machine learning and hemodynamic profiles

What this could lead to

If successful, this could provide doctors with a practical AI tool to personalize blood pressure medications, leading to better control and fewer complications.

What could go wrong

This is a pragmatic trial in primary care, so results may vary by setting. The AI tools may not outperform usual care, and the study is not designed to prove long-term benefits.

Conditions

The condition(s) this trial relates to.

hypertensive disorder

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.