AI may predict dangerous blood pressure drops 30 minutes early

NCT ID NCT07627607

Completed Knowledge-focused Sponsor: Kutahya Health Sciences University Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jul 10, 2026 · Updated 2 times

Summary

This study will collect routine data from 100 adult ICU patients to build a machine learning model that predicts low blood pressure (hypotension) up to 30 minutes before it happens. The model uses non-invasive vital signs, heart rate, medication records, and fluid balance. No treatments or alarms are tested; the goal is to see if the model can accurately forecast hypotension.

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 a tool that warns doctors about impending low blood pressure, potentially allowing earlier intervention.
What could go wrong: This is a small, early observational study with only 100 participants. The model may not work well in other hospitals or with different patients.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Get updates

Get notified about this study

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

Our safety recommendation!

By submitting, you agree to our Terms of use

Conditions

The condition(s) this trial relates to.

hypotensive disorder

As listed by the trial registrant

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

HYPOTENSION

Contacts and locations

Locations

Kutahya City Hospital

Kütahya, Kütahya, 43100, Turkey (Türkiye)

More trials for these conditions

Other studies related to the condition(s) this trial covers.