The first research project

One tablet. Many medical capabilities.

A multimodal diagnostic platform built from a standard Android tablet, an ultrasound probe and AI-assisted software. Our first proof of modular architecture.

What we are building

A platform, not another ultrasound machine.

The tablet uses its camera, microphone, audio and touchscreen. External sensors extend its medical capabilities; ultrasound is the first addition. ECG, EEG and other modalities may follow.

Hardware interfaces, data processing, interpretation, user experience and human expertise are developed as independent modules.

Components, not monoliths
Sensing
Interpretation
User experience
Data
Shared semantics
Human expertise
A complete, functioning system ↗
Why we are doing this

Two theses. One demonstrator.

01

Medicine from First Principles

We start with the medical task, not with existing device categories. For selected clinical questions, for example, we investigate whether AI-assisted ultrasound can replace conventional X-ray imaging.

02

Proving Composability

We demonstrate that independently developed modules can form a fully functional system — and then be reused, replaced and extended.

The concrete end-to-end proof

Diagnosis is our first use case.

Diagnostic assessment is easier to define than treatment or therapy, yet already provides practical value. Treatment may be added later.

Two diagnostic questions
AFractures — selected clinical questions using AI-assisted ultrasound
BLung and pleural examinations — a different diagnostic context

Both use cases are research proposals to be evaluated in appropriate clinical settings, not already validated substitutes for established procedures.

Multiple user roles
01Physician-oriented interface
02Nursing and emergency-service workflows
03Further roles depending on the specific setting

User guidance and professional authorization are distinct. The modules share the same diagnostic capabilities.

Development strategy

First, make it work. Then make it replaceable.

01

End-to-end proof

Assemble a complete diagnostic-assessment application from semantically described, independently developed modules.

02

Reuse

Implement a second diagnostic question and several user interfaces using shared components.

03

Substitutability

Replace at least one component with an independently developed implementation — without rewriting its consumers.

04

Open continuation

Publish modules, models, interfaces and tests so other teams can develop additional applications.

The initial consortium

We are looking for people
who can build it.

Research teams in diagnostics, ultrasound and sensing, medical AI, ontologies, agent-assisted software development and user interaction. Independent partners collaborate on one functional end-to-end proof.

Join the research consortium