AI could see a blood pressure crash coming — before it happens

NCT ID NCT07742930

Completed Diagnosis Sponsor: Huinno AIM Source: ClinicalTrials.gov ↗

First seen Aug 03, 2026 · Last updated Aug 04, 2026 · Updated 1 time

Summary

This trial tests an AI software called Vital-PICASO that analyzes vital signs like blood pressure, heart rate, and oxygen levels to predict whether a hospital patient will experience hypotension (dangerously low blood pressure) within the next 24 hours. Researchers will review medical records from over 600 adult patients admitted to a general ward, comparing the AI's risk scores against actual occurrences of hypotension. The goal is to see if the AI can accurately flag patients at risk, potentially giving doctors an early warning system.

What this could mean

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

Active substance: AI-based software (Vital-PICASO) that analyzes vital signs to predict hypotension risk
What this could lead to: If successful, this AI tool could help hospital staff identify patients at risk of dangerous blood pressure drops earlier, potentially preventing complications.
What could go wrong: This is a retrospective study using existing data, not a real-time test. The AI may not perform as well in live settings, and its predictions are not yet proven to improve patient outcomes.

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

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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

Seoul National University Hospital

Seoul, South Korea

More trials for these conditions

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