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Artificial IntelligenceR&DMedical image triage

Medical image triage — Diagnostics chain

Assistive triage for X-ray and retinal imaging with clinician review. Delivered for a diagnostics chain client in Jamnagar.

Location
Jamnagar
Year
2025
Duration
8 weeks
Team
12 engineers
Interactive 3D · drag to rotate
94%
sensitivity
2.1×
faster reporting
8.9k
scans per day

The challenge

The diagnostics chain team was relying on manual effort that could not keep up with volume, and every miss had a direct cost.

What we built

We ran a two-week discovery sprint, then built and fielded the system end to end on PyTorch, MONAI and DICOM, with operator training and an SLA.

Delivery timeline

  1. Phase 1

    Discovery sprint and site survey

  2. Phase 2

    Prototype built and tested in the Motera lab

  3. Phase 3

    Pilot on site with before/after measurement

  4. Phase 4

    Scale-out, training and handover

Highlights

  • Designed, built and supported from Motera, Ahmedabad
  • Safety case reviewed with the client's EHS team
  • Runs on-premises; no data leaves the site unless agreed
  • Before-and-after measurements agreed with the client up front

Have a problem that needs a machine built for it?

Tell us the constraint — line speed, accuracy, environment, deadline. An engineer will read it and reply with a straight answer, including when the answer is that you don't need us.

We reply to every enquiry within one business day.