LibraryFamily 1 · Diagnostic Imaging & Pathology
Intracranial haemorrhage triage on non-contrast head CT
Under reviewActive deploymentDeveloping evidence
Undergoing in-depth clinical, technical and governance review.
Flags head CT studies suspected of acute intracranial haemorrhage and re-prioritises them in the radiology worklist to shorten time-to-diagnosis.
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
- Radiology
- Care setting
- Emergency department
- Patient population
- Adult patients undergoing non-contrast head CT in the emergency department and inpatient setting.
- Intended use
- Flags head CT studies suspected of acute intracranial haemorrhage and re-prioritises them in the radiology worklist to shorten time-to-diagnosis.
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
- ICH v3.4
- Built on a general-purpose model
- No
Deployment
- Status
- Active deployment
- Country
- Germany
- Deployment date
- 15 November 2023
- 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
- Completed
- Data identifiability
- Pseudonymised
- Explainability method
- Post-hoc
- Human oversight model
- Worklist prioritisation only — the radiologist makes and signs every diagnostic report.
NICE evidence standards
- ESF tier
- Tier C — treat / diagnose / calculate risk
- Evidence category
- Category 2
Performance summary
- Headline metric
- Specificity
- Value
- 0.95
- Subgroup performance assessed
- Yes
- Known bias signals
- —
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Evidence records
Studies and evaluations attached to this use case.
Prospective observational
Time saved: 32
Population: ED workflow, time-to-notification (minutes)
Retrospective validation
AUC / AUROC: 0.96
Population: Emergency head CT, 8k studies
Contributors
- Deploying organisation
- [demo] Charité – Universitätsmedizin Berlin · Hospital / health system · Germany
- AI vendor
- [demo] Aidoc · Israel
- Product name
- BriefCase ICH