AI service — AI Medical · Neurology
Brain MRI analysis
Segment brain anatomy, extract the brain, and delineate tumours and lesions on MRI — with morphometry in about an hour instead of seven.
Send us your data volume, throughput and latency targets and any constraint we should design around. You get a proposed configuration, a benchmark on your own data, and a known cost per unit of work before you commit.
Brain morphometry has been possible for twenty years and slow for all of them. These models produce whole-brain segmentation, cortical thickness and structure volumes in roughly an hour of compute rather than seven, with test-retest reliability that is better rather than worse than the classical pipeline.
Tumour and lesion models cover the other half of the work: sub-region masks for glioma, MS lesion counts with anatomical location, and brain extraction robust to pathology. Studies arrive from your PACS and return as masks plus a volumetry record.
Every output is clinical decision support, not a diagnosis: a qualified professional reviews and signs it. Where clinical use requires regulatory approval in your jurisdiction, that approval remains yours to hold — we provide the infrastructure, the model operations and the audit trail behind it.
What we size for
We build the brain mri analysis pipeline around the workload you actually have: data format, accuracy target, latency, throughput, concurrency, retention and scheduling. Start with a pilot, then scale production capacity without changing a line of your integration.
Common use cases
- Morphometry at cohort scale — Process an imaging cohort for structure volumes and cortical thickness.
- Tumour follow-up — Measure enhancing and whole-tumour volume change between studies.
- MS lesion reporting — Count and locate lesions with McDonald-criteria region labelling.
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