AI eye on vital signs could foresee cardiac arrest
NCT ID NCT07742943
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 have a cardiac arrest within the next 24 hours. The software analyzes routine vital signs like blood pressure, heart rate, and breathing rate from electronic health records. Researchers will compare the AI's risk scores against actual cardiac arrest events in a large group of adult patients. If it works, this tool could give doctors an early warning to intervene and potentially prevent cardiac arrest.
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 cardiac arrest risk
- What this could lead to
- If successful, this AI tool could help hospital staff identify patients at risk of cardiac arrest earlier, potentially saving lives by enabling timely intervention.
- What could go wrong
- This is a retrospective study using existing data, and the AI's performance may not match real-world conditions. It also relies on vital signs alone, which may not capture all risk factors.
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
-
387 people
The number who actually took part.
- Started
-
Aug 2025
- Finished
-
Dec 2025
- 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 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 includes patients with an eligible in-hospital cardiac arrest occurring in a general ward and patients without cardiac arrest or other predefined clinical deterioration during the selected general ward admission period.
- 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 Hide 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 * Availability of the required vital-sign data, including systolic blood pressure, diastolic blood pressure, heart rate, respiratory rate, body temperature, and oxygen saturation when available * Clinical data not previously used in the development of Vital-PICASO Cardiac Arrest-Positive Group * In-hospital cardiac arrest occurred in a general ward * Cardiac arrest was documented in the electronic medical record and was followed by at least one of the following resuscitation procedures: * High-quality cardiopulmonary resuscitation * Defibrillation * Advanced life support * Vital-sign data were available for up to 72 hours before the cardiac arrest * If cardiac arrest occurred within 24 hours after admission to the general ward, all available vital-sign data recorded before the event were included * If a patient experienced multiple cardiac arrest events during the study period, only the first eligible event was included Cardiac Arrest-Negative Group * No cardiac arrest or other predefined clinical deterioration occurred during the selected general ward admission period * The patient was selected from the same general ward as patients in the cardiac arrest-positive group * Vital-sign data were available from a time period comparable with the cardiac arrest-positive group or within 72 hours after admission to the general ward * Only one eligible data segment was included per patient * The data were considered appropriate for inclusion in the cardiac arrest-negative group by the investigator Exclusion Criteria: * Cardiac arrest 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 investigator
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for Heart arrest are added.
Genom att skicka in godkänner du våra Användarvillkor
Conditions
The condition(s) this trial relates to.
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.
- Can a drug used for overdoses boost survival after cardiac arrest?
- Brain wave battle: deeper suppression may halt post-arrest seizures
- Seizure drug may shield the brain after cardiac arrest — a trial puts it to the test
- Walking after a heart device: simple step to better health?
- Phone CPR instructions boost bystander action in cardiac arrests
- Specialty care after cardiac arrest: a lifesaving shift?