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.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 500 (estimated) |
| Sponsor | Hospital Universitari Vall d'Hebron Research Institute Academic / other |
| Drugs / interventions | radiation |
| Locations | 1 site (Barcelona, Catalonia) |
| Status | Recruiting |
| Started | March 14, 2025 |
| Main results expected | December 2026 |
| Study ends | June 2027 |
| Registry record updated | January 6, 2026 |
| Trial ID | NCT07319013 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
- Study coordinator: Renato Simonetti, Md
- Email: renato.simonetti@vallhebron.cat
- Phone: +34934893000
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
-
Psilocybin to reopen brain plasticity after chronic stroke
This trial will test whether a supervised dose of psilocybin is safe and can help reopen brain plasticity in adults who had an ischemic or hemorrhagic stroke at least 12 months ago.
-
Care bundle to improve recovery after intracerebral haemorrhage
This trial will try a structured treatment package—rapid reversal of blood thinners when needed, early intensive blood pressure lowering, and treatment of fever and high blood sugar—to see if it improves 3‑month outcomes for adults with spontaneous intracerebral haemorrhage who arrive within 24 hours of symptom onset.
-
AI-based tools to help diagnose, treat and predict stroke outcomes across multiple hospitals
This study tests AI-powered tools on real-world stroke patients to see if they can improve pre-hospital triage, diagnosis, and outcome prediction while data stay securely within each hospital.
-
Savvy medication-support program for people after stroke
This project will test whether Savvy — short phone-based psychological exercises, a weekly pill organizer, and text reminders — helps stroke survivors take their blood-pressure medicines and improve blood pressure compared with usual care.
-
Minimally invasive surgery to remove deep (basal ganglia) brain hemorrhages
This observational study will see if minimally invasive surgery helps adults aged 18–80 with spontaneous deep (basal ganglia) intracerebral hemorrhage who present within 72 hours, compared with standard medical care.
-
When and how people recover after an intracerebral hemorrhage
This registry will collect detailed, long-term data on adults who have surgery for intracerebral hemorrhage to see if the timing and type of surgical treatment affect recovery and quality of life.
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.