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Artificial IntelligenceLiveMedical image triage

Medical image triage — Telemedicine

Assistive triage for X-ray and retinal imaging with clinician review. Delivered for a telemedicine client in Kolkata.

Location
Kolkata
Year
2024
Duration
27 weeks
Team
6 engineers
Interactive 3D · drag to rotate
95%
sensitivity
5.5×
faster reporting
8.7k
scans per day

The challenge

Existing vendors had delivered pieces of a medical image triage system, but nobody owned the integration and the pilot had stalled.

What we built

A phased rollout: a measured pilot first, then scale-out. The core runs on PyTorch with MONAI, integrated into existing systems through FastAPI.

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

  • Integrated with existing PLC, ERP or GIS systems — no rip-and-replace
  • Documentation, drawings and source handed over at close
  • Designed, built and supported from Motera, Ahmedabad
  • Remote monitoring and over-the-air updates included

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.