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DIMECHAIN

Research programmes

Diagnostics researchStatus: research

Development-stage multimodal medical AI. Not a device, and not for clinical use.

DIM 12 Framework

Overview

  • A development-stage research programme in multimodal diagnostic support, structured as six stages from ingestion through to deployment.
  • Carries interpretability and uncertainty reporting as a named stage, because a diagnostic aid a clinician cannot interrogate is not usable.
  • Not a medical device. No regulatory clearance, no published accuracy or sensitivity figures, and not for diagnostic use. Earlier published clinical numbers were withdrawn pending specialist review.

Part of AI & Automation.

How it works

Real components only. Anything not listed here does not exist yet.

  1. 01

    Data ingestion

    MRI, CT, PET, histopathology, genomics, EHR and biomarker sources

  2. 02

    Feature encoding

    Embeddings and kernels across the combined modalities

  3. 03

    Hybrid modelling

    Classification, feature extraction and prediction

  4. 04

    Error mitigation

    Noise and robustness controls

  5. 05

    Interpretability

    Confidence and uncertainty reporting alongside every output

  6. 06

    Deployment

    APIs and SDKs, cloud or on-premise

Specs

Actual limits, not aspirations. Where a row is missing, the number has not been measured or cleared for publication.

No specification is published for this product yet. We would rather show an empty table than numbers we cannot reproduce on request. Ask us directly and we will tell you what the current limits are.

Access

Research collaborations with clinical and academic partners. Not available as a product, and not for clinical use.

Want to pilot Diagnostics research?