AI service — AI Medical · Radiology
MRI analysis
Analyse multi-sequence MRI across clinical tasks, and detect clinically significant prostate cancer on biparametric studies.
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.
MRI is many modalities in one: sequence choice changes what a model sees, which is why general-purpose models struggle and multi-sequence models are the interesting development. These read a study across its sequences and return classification, segmentation, registration or report output.
Studies arrive from your PACS and come back as scored findings and masks. Prostate work is the most mature single indication here, with reader-study evidence behind it.
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 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
- Prostate MRI reading support — Produce a lesion heatmap and patient-level risk score for csPCa.
- Multi-task MRI pipelines — Cover classification, segmentation and registration from one deployment.
- Cohort measurement — Process a study archive consistently for research endpoints.
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