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AI crystal ball for hospital wards: can software forecast oxygen drops 24 hours early?

NCT ID NCT07742813

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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 Results may not be published yet.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

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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This status has not been confirmed recently, so it may be out of date.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 whether an AI software called Vital-PICASO can predict if a hospital patient will develop hypoxia—dangerously low blood oxygen—within the next 24 hours. Using vital signs like heart rate, blood pressure, and oxygen levels from 2,250 adult patients, the software generates a risk score. Researchers compare these scores against actual hypoxia events to see if the AI is accurate enough to serve as an early warning system in general wards.

What this could mean

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

Active substance
Vital-PICASO, an AI-based software that analyzes vital signs to predict hypoxia risk
What this could lead to
If it works, this AI tool could give hospital staff an early warning system, helping them spot patients at risk of low oxygen levels a day in advance and potentially preventing emergencies.
What could go wrong
This is a retrospective study using existing medical records, not a live test, so real-world performance may differ. The software's predictions are compared against a set threshold, and it may not work equally well for all patients or hospital settings.

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

2,250 people

The number who actually took part.

Started

Aug 2025

Finished

Jul 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 consists of male and female patients aged 19 years or older who were admitted to a general ward at Seoul National University Hospital for at least 12 hours and had electronic medical record data available between January 1, 2023, and May 31, 2025. The retrospective study datasets include hypoxia-positive and hypoxia-negative cases evaluated separately according to two reference-standard criteria: oxygen saturation below 94% and oxygen administration at a flow rate of 4 L/min or more.

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 SpO2-Based Hypoxia-Positive Group * Hypoxia occurred in a general ward * Hypoxia was defined as oxygen saturation below 94% * Vital-sign data were available for up to 72 hours before the hypoxia event * If hypoxia occurred within 24 hours after admission or transfer to the general ward, all available vital-sign data recorded before the event were included * If multiple eligible hypoxia events occurred during the data collection period, only the first eligible event was included for this criterion SpO2-Based Hypoxia-Negative Group * No hypoxia occurred during the selected general ward admission * Data were randomly selected from the same general wards as the corresponding hypoxia-positive group * Vital-sign data were available from a time interval comparable with the hypoxia-event reference time or for up to 72 hours after admission to the general ward * Only one eligible data interval was included per patient Oxygen-Treatment-Based Hypoxia-Positive Group * Hypoxia occurred in a general ward * Hypoxia was defined as oxygen administration at a flow rate of 4 L/min or more * Vital-sign data were available for up to 72 hours before the initiation of oxygen administration * If oxygen administration began within 24 hours after admission or transfer to the general ward, all available vital-sign data recorded before the event were included * If multiple eligible events occurred during the data collection period, only the first eligible event was included for this criterion Oxygen-Treatment-Based Hypoxia-Negative Group * No hypoxia occurred during the selected general ward admission * Data were randomly selected from the same general wards as the corresponding hypoxia-positive group * Vital-sign data were available from a time interval comparable with the hypoxia-event reference time or for up to 72 hours after admission to the general ward * Only one eligible data interval was included per patient Exclusion Criteria: * Hypoxia occurred outside a general ward * The patient had chronic obstructive pulmonary disease * A do-not-resuscitate order was in effect at the time the clinical data were recorded * The patient was pregnant or within 3 months after delivery at the time the clinical data were recorded * The data were considered inappropriate for the study by the principal investigator

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Conditions

The condition(s) this trial relates to.

Hypoxia

As listed by the trial registrant

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

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.