Clinical trial Recruiting at 1 site Observational Ages 18 and up

AI-assisted transcranial Doppler ultrasound to detect early brain bleeding

Official title: HYPER-AI-SCAN: HYPER-acute AI-assisted Sonographic Cerebral Hemorrhage Assessment Network

Run by Hospital Universitari Vall d'Hebron Research Institute · NCT07319013 · Data updated 2026-11-12

This will try to see if a quick transcranial Doppler ultrasound combined with artificial intelligence can detect intracerebral bleeding in adults with suspected acute stroke within 48 hours of symptom onset.

More Stroke trials

Quick facts

Study typeObservational
Ages18 Years and up
SexAll
Enrollment500 (estimated)
SponsorHospital Universitari Vall d'Hebron Research Institute
Academic / other
Drugs / interventionsradiation
Locations1 site (Barcelona, Catalonia)
StatusRecruiting
StartedMarch 14, 2025
Main results expectedDecember 2026
Study endsJune 2027
Registry record updatedJanuary 6, 2026
Trial IDNCT07319013 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Adults (≥18 years) with a clinical diagnosis of acute stroke who present within 48 hours of symptom onset and are able to undergo transtemporal transcranial ultrasound and provide informed consent are ideal candidates.

Probably not a fit

Patients with infratentorial bleeds, isolated subarachnoid hemorrhage, prior craniectomy or skull defects, unstable medical status, or those who lack an adequate temporal ultrasound window are unlikely to benefit from the ultrasound-based AI approach.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational study will enroll 500 adults with suspected acute stroke who present within 48 hours of symptom onset at a single center. After the standard CT scan confirms the diagnosis, each participant will undergo a structured transtemporal transcranial Doppler ultrasound and images will be coded for research. Collected ultrasound images will be used to train and test AI models that predict whether intracerebral hemorrhage is present by comparing AI output to CT-confirmed diagnoses. There is no treatment intervention; the goal is to determine whether standardized ultrasound acquisition and AI interpretation can reliably flag haemorrhagic versus non-haemorrhagic strokes.

Why it matters

Potential benefit: If successful, this approach could enable faster bedside identification of intracerebral hemorrhage when CT is not immediately available, improving triage and time to the right treatment.

How similar studies have gone: Smaller studies have shown transcranial ultrasound can detect some intracranial abnormalities and AI has improved image-based detection in other areas, but applying AI to transtemporal ultrasound for ICH detection is relatively novel and not yet widely validated.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

* Adult patients (age ≥18 years).
* Clinical diagnosis of acute stroke (ischemic or intracerebral hemorrhage).
* Able to undergo transtemporal transcranial ultrasound according to the standardized protocol (no clinical instability)
* Informed consent obtained from the patient or legally authorized representative, per local regulations.

Exclusion Criteria:

* Infratentorial hemorrhage (e.g., cerebellar or brainstem hemorrhage), due to limitations of transtemporal insonation.
* Isolated subarachnoid hemorrhage without parenchymal involvement.
* Hemodynamic instability or medical conditions requiring immediate life-saving intervention that preclude safe ultrasound recording.
* Known skull defects or prior craniectomy on the side required for contralateral insonation.
* Any condition that, in the opinion of the investigators, would interfere with protocol adherence or data accuracy.

Where it's running

  • Hospital Universitario Vall D'Hebron
    Barcelona, Catalonia, Spain
    Recruiting

Study contacts

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How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.