Cliniq Labs
FractureFlow AI
Cliniq LabsFractureFlow AI
Cliniq Labs / Clinical research prototype

Research into evidence-grounded fracture workflows.

Explore a clinician-facing research prototype combining governed retrieval, recommendation validation and a separate X-ray modelling workstream.

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Invite-only research

Independent research; no NHS, hospital or regulatory endorsement is implied.

Accountable ownershipBuilt by Hassan Chizari Information handlingPublished privacy information Product supportContact the developer
Product capabilities

Built around a defined research question.

Explore the features and their intended use before deciding whether this project fits your needs.

01

Invite-only testers

MIU, ED, orthopaedic and VFC clinicians, plus junior doctors interested in reviewing safety-before-RAG behaviour, retrieval grounding and fracture-detection research.

02

Not available to

Patients, carers, the general public, or any App Store / open distribution channel until governance sign-off and Trust-local pathways are in place.

03

Evidence pipeline

Source register, ingestion rounds, chunking and governance metadata across national guidance, VFC examples, red-flag packs and immobilisation material.

04

Safety-before-RAG

Deterministic red-flag rules run first. Escalation bypasses retrieval entirely so generation never softens an emergency pathway.

Research approach

Understand the evaluation approach.

Explore the research methods and limitations, then contact the developer about the intended evaluation scope. Do not use prototype outputs for patient care.

Explore research details
  1. A clinician or junior doctor requests access and confirms this is research-only, not live care.
  2. Invited testers exercise red-flag screening, retrieval grounding, recommendation validation and optional imaging research tools on non-live scenarios.
  3. Feedback feeds evaluation vignettes, source-approval decisions and Trust-localisation planning.
  4. Patient, public or live clinical release remains blocked until governance sign-off and local pathway approval.
Product transparency

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Know how information is handled.

01 / Intended use

Research boundaries

Not for patient self-triage, live patient care or public distribution. It is not autonomous diagnosis or a replacement for radiology reporting.

Our approach to product information
02 / Data & permissions

Privacy in context

Research participation and permitted information handling are governed separately. Do not email patient records or upload identifiable clinical information through public contact channels.

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Common questions

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Find answers about FractureFlow AI, its intended use and its limitations.

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Is FractureFlow AI available to patients?

No. The app is not for patient self-triage or public distribution. Access is limited to invited clinicians and junior doctors evaluating the research MVP.

What AI techniques does FractureFlow AI use?

It uses deterministic red-flag escalation before retrieval, offline governed RAG over UK guidance chunks, recommendation validation, an optional LLM provider disabled by default, evaluation vignettes, and a separate X-ray detection research track with ensemble models and Grad-CAM.

Does the app diagnose fractures autonomously?

No. FractureFlow AI is clinical decision support. It does not replace clinician judgement, local Trust pathways, or radiology reporting.

Who can request access?

MIU, ED, orthopaedic triage and Virtual Fracture Clinic clinicians, plus junior doctors interested in testing the safety-before-RAG and fracture-detection research prototype, may request invite-only access.

Is this affiliated with the NHS?

No. FractureFlow AI is an independent research MVP. It is not affiliated with, endorsed by, or approved by the NHS, NICE, BOAST, or any hospital trust.

Independent development

A named developer.
A direct route to support.

FractureFlow AI is developed by Hassan Chizari and presented under Cliniq Labs. Earlier versions and notices may use the Random Mini Apps name.

For questions or corrections, include the app version and a description of the issue. Please leave out sensitive personal or patient information.

Contact the developer

Discuss the research scope.

Contact the developer about evaluation access and project limitations.

Enquire about research