LibraryFamily 15 · Emergency & Trauma
Large-vessel occlusion detection and care-team alerting
Under reviewPilotEmerging evidence
Undergoing in-depth clinical, technical and governance review.
Detects suspected large-vessel occlusion on CT-angiography and sends a synchronised mobile alert to the stroke care team to compress time-to-treatment.
Plain-language summary
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Clinical context
- Clinical problem
- Detect a condition
- Point of care
- Triage
- Nature of AI output
- An alert
- Clinical specialty
- Emergency medicine
- Care setting
- Emergency department
- Patient population
- Adults with suspected acute ischaemic stroke undergoing CT-angiography in the emergency department.
- Intended use
- Detects suspected large-vessel occlusion on CT-angiography and sends a synchronised mobile alert to the stroke care team to compress time-to-treatment.
Technology
- AI technique
- Deep learning, Computer vision
- Input data
- Medical imaging
- Output type
- Alert
- Autonomy level
- Informs a human (advisory)
- Model provenance
- Vendor proprietary
- Model version
- LVO v2.1
- Built on a general-purpose model
- No
Deployment
- Status
- Pilot
- Country
- Spain
- Deployment date
- 5 September 2024
- Sites
- 1
Regulatory & governance
- EU AI Act risk tier
- High-risk
- High-risk basis
- Annex I — medical device
- Medical device
- Yes
- EU MDR class
- Class IIa
- CE marking
- CE marked
- FDA status
- 510(k) cleared
- ISO 14971 risk class
- Medium
- GDPR processing basis
- Public interest
- GDPR DPIA
- Pending
- Data identifiability
- Pseudonymised
- Explainability method
- Post-hoc
- Human oversight model
- Notification only; diagnosis and treatment remain with the stroke team.
NICE evidence standards
- ESF tier
- Tier B — inform / monitor
- Evidence category
- Category 2
Performance summary
- Headline metric
- Sensitivity
- Value
- 0.9
- Subgroup performance assessed
- No
- Known bias signals
- —
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Evidence records
Studies and evaluations attached to this use case.
Retrospective validation
Sensitivity: 0.9
Population: CT-angiography, 1.5k studies
Contributors
- Deploying organisation
- [demo] Hospital Clínic de Barcelona · Hospital / health system · Spain
- AI vendor
- [demo] Viz.ai · United States
- Product name
- Viz LVO