AI brain scan tool could predict who wakes up after cardiac arrest

NCT ID NCT06856018

Ongoing Knowledge-focused Sponsor: National Taiwan University Hospital Source: ClinicalTrials.gov ↗

First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study tests an artificial intelligence system that analyzes brain CT scans to predict how well someone will recover after a cardiac arrest. Researchers will look at data from 350 patients who survived a cardiac arrest in Taiwan between 2014 and 2020. The goal is to see if the AI tool can accurately forecast brain function, helping doctors and families decide on the best next steps in care.

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 AI tool could give doctors a more accurate way to predict brain recovery after cardiac arrest, helping families make informed decisions about continuing care.
What could go wrong: This is an observational study using existing data, not a treatment trial. The AI model may not work as well in different hospitals or patient groups, and it won't directly 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.

cardiac arrest Out-of-Hospital Cardiac Arrest

As listed by the trial registrant

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

OUT-OF-HOSPITAL CARDIAC ARREST

Contacts and locations

Locations

National Taiwan University Hospital Hsin-Chu Branch

Hsinchu, 300, Taiwan

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