Training and capability building

Training on artificial intelligence for health

QSTOM-IT designs training to help technical, business and leadership teams understand AI performance, limitations and the evidence they should request before using or funding a system.

Innovation and R&D leadersHealthTech and MedTech companiesData and AI teamsHealthcare professionals and business teams

Audiences

Who is it for?

Innovation and R&D leadersHealthTech and MedTech companiesData and AI teamsHealthcare professionals and business teamsInvestors and incubatorsSchools, universities and training organisations

Programme

Training topics

Assessing health AI

Read performance results, understand a confusion matrix and ask the right questions of a supplier.

Data leakage and bias

Patient overlap, temporal leakage, sampling bias and cohort representativeness.

Robustness and generalisation

Subpopulations, drift, external validation, degraded data and error analysis.

Health AI metrics

Accuracy, sensitivity, specificity, ROC-AUC, PR-AUC, calibration, thresholds and operational impact.

Generative AI in health

Sources, hallucinations, evaluation, confidentiality and limits of use.

EU AI Act for technical teams

Understand the main regulatory themes and identify technical evidence to document without replacing formal regulatory advice.

Formats

Formats

  • 1 to 2 hour awareness session
  • Half-day workshop
  • Full-day training
  • Multi-session programme
  • Practical case tailored to your context
In Lille, on site or remotely

Training can be delivered in Lille and Hauts-de-France, at your premises in France or remotely for European teams.

No fixed catalogue

The programme is built around participant level, data type, use cases and decisions. Examples can be adapted to your sector and tools.

FAQ

Training FAQ

Is EU AI Act training regulatory advice?+

No. It is designed to explain the framework, concepts and technical evidence. Formal legal or regulatory analysis should be performed by the appropriate professionals.

Can you train non-technical teams?+

Yes. Metrics and risks are explained through concrete cases without requiring advanced machine learning knowledge.

Can you deliver training in English?+

Yes. Training and materials can be delivered in French or English.

QSTOM-IT

Do you want your teams to challenge health AI more effectively?

Tell us who the participants are, the context and the decisions they need to make. We will build an appropriate format.

Build a training programme