AI predicts trauma patient survival before they reach the hospital

NCT ID NCT07634185

Not yet recruiting Knowledge-focused Sponsor: Queen Mary University of London Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This trial tests a software device called AI-TRiPS that uses real-time data from ambulances to predict the risk of death, bleeding, kidney injury, and need for blood transfusion in trauma patients. The tool displays these predictions to hospital trauma teams before the patient arrives, aiming to improve decision-making. The study involves around 1,200 patients and their clinicians across four major trauma centers in London, comparing standard care to care guided by the AI predictions.

What this could mean

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

Active substance: AI-TRiPS Device (software as a medical device)
What this could lead to: If successful, this AI tool could help trauma teams make faster, more accurate decisions, potentially improving survival and reducing complications in injured patients.
What could go wrong: This is an early-phase study focused on clinician behavior, not patient outcomes. The AI predictions may not improve care or could lead to over-reliance on the technology.

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.

injury

As listed by the trial registrant

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

DECISION SUPPORT SYSTEMS, CLINICAL INJURY TRAUMA

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