University hospital, neurology department
Brain Diseases Recognition
Vision models fine-tuned on the department's de-identified brain MRI and CT studies to flag candidate lesions and prioritise worklists, with a neurologist confirming every finding.
- Output
- Decision support only
- Final decision
- Neurologist
- Deployment
- On-premise, next to PACS
The department wanted faster triage of brain imaging without sending studies outside the hospital. Small vision models were fine-tuned on the department's own de-identified MRI and CT data and deployed on hardware inside the network, next to PACS.
Each flagged finding is shown with the evidence the model used. A neurologist accepts or rejects it, every decision is logged for clinical governance, and the accepted cases feed the next fine-tuning round. The system supports, and does not replace, clinical judgement.
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