About

QSTOM-IT - Health AI, methodology and evidence

QSTOM-IT is a Lille-based company specialising in the design, assessment and robustness of artificial intelligence systems for health.

QSTOM-IT

What does QSTOM-IT stand for?

Quantitative & Scientific Testing of Operational Models - Intelligent Technologies

The name reflects a conviction: a technology should not only work in a demonstration. It should be measurable, testable, discussable and documented under the conditions in which it is intended to be used.

Lille - France

QSTOM-IT is based in Lille, Hauts-de-France. Work can be delivered on site in France or remotely across Europe depending on the project.

Mission

Our role

Design

Structure an AI project together with its data strategy and evaluation protocol.

Assess

Independently examine data, methods and reported performance.

Strengthen

Identify weaknesses and design the tests required before the next stage.

Teach

Train teams to read, challenge and document health AI systems.

Founder

Scientific leadership

QSTOM-IT was founded and is led by Aurélien Vannieuwenhuyze. Core expertise covers artificial intelligence, data science, experimental methodology, explainability, temporal data and reproducibility. Clinical, statistical, quality or regulatory expertise can be brought in when required by the dossier.

Aurélien Vannieuwenhuyze

Principles

Independence and transparency

QSTOM-IT distinguishes project delivery, due diligence readiness and independent assessment. Conflicts of interest, access limitations and methodological limitations are stated before and after an engagement.

QSTOM-IT

Would you like to understand how QSTOM-IT can help?

Tell us the context. We will quickly indicate whether the need is project design, assessment, stress testing or training.

Discuss a project