AI could help doctors treat low blood pressure during surgery

NCT ID NCT07396636

First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study observes 50 adults having surgery to understand why their blood pressure drops. Researchers will use machine learning to find patterns in how different patients respond to treatment. The goal is to create personalized recommendations for managing low blood pressure during surgery, which could reduce complications and speed up recovery.

What this could mean

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

What this could lead to

If successful, this could lead to personalized treatment recommendations for low blood pressure during surgery, improving patient safety and recovery.

What could go wrong

This is an early observational study with only 50 participants, so findings may not apply to all patients. It does not test any treatment directly.

Disclaimer Read more

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.

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for BLOOD PRESSURE are added.

Our safety recommendation!

By submitting, you agree to our Terms of use

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.

Contacts and locations

Study contacts

  • Contact

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

  • Contact

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

Locations

  • Konya City Hospital

    RECRUITING

    Konya, Konya/Meram, 42040, Turkey (Türkiye)

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