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

NCT ID NCT07742930

Diagnosis Sponsor: Huinno AIM Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed This study
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

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.

Study facts

What this study's own registry entry says, in plain language.

Participants

648 people

The number who actually took part.

Started

Jul 2025

Finished

May 2026

Lead sponsor

A company

The lead sponsor is a pharmaceutical, biotech, or medical-device company.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

The study population consisted of adult patients aged 19 years or older who were admitted to a general ward at Seoul National University Hospital and had at least 12 hours of electronic medical record data available between January 1, 2023, and May 31, 2025. The retrospective study dataset included patients with an eligible hypotension event occurring in a general ward and patients without hypotension during the selected general ward admission period. Hypotension was defined as systolic blood pressure below 90 mmHg.

Ages

19 years and older

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: General Criteria * Male or female patient aged 19 years or older at the time the clinical data were recorded * Electronic medical record data available between January 1, 2023, and May 31, 2025 * Admission to a general ward for at least 12 hours * Clinical data not previously used in the development of Vital-PICASO Hypotension-Positive Group * Hypotension occurred in a general ward * Hypotension was defined as systolic blood pressure below 90 mmHg * Vital-sign data were available for up to 72 hours before the hypotension event * If hypotension occurred within 24 hours after admission or transfer to the general ward, all available vital-sign data recorded before the event were included * If a patient experienced multiple hypotension events during the data collection period, only the first eligible event was included Hypotension-Negative Group * No hypotension occurred during the selected general ward admission period * Data were randomly selected from the same general wards as the hypotension-positive group * Vital-sign data were available from a time interval comparable with the hypotension event reference time or for up to 72 hours after admission to the general ward * Only one eligible data interval was included per patient * The data were considered appropriate for inclusion in the hypotension-negative group by the investigator Exclusion Criteria: * Hypotension occurred outside a general ward * A do-not-resuscitate order was in effect at the time of data collection * Pregnancy at the time of data collection or within 3 months after delivery * The data were considered inappropriate for the study by the principal investigator

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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.