Assessing health AI
Read performance results, understand a confusion matrix and ask the right questions of a supplier.
Training and capability building
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.
Audiences
Programme
Read performance results, understand a confusion matrix and ask the right questions of a supplier.
Patient overlap, temporal leakage, sampling bias and cohort representativeness.
Subpopulations, drift, external validation, degraded data and error analysis.
Accuracy, sensitivity, specificity, ROC-AUC, PR-AUC, calibration, thresholds and operational impact.
Sources, hallucinations, evaluation, confidentiality and limits of use.
Understand the main regulatory themes and identify technical evidence to document without replacing formal regulatory advice.
Formats
Training can be delivered in Lille and Hauts-de-France, at your premises in France or remotely for European teams.
The programme is built around participant level, data type, use cases and decisions. Examples can be adapted to your sector and tools.
FAQ
No. It is designed to explain the framework, concepts and technical evidence. Formal legal or regulatory analysis should be performed by the appropriate professionals.
Yes. Metrics and risks are explained through concrete cases without requiring advanced machine learning knowledge.
Yes. Training and materials can be delivered in French or English.
QSTOM-IT
Tell us who the participants are, the context and the decisions they need to make. We will build an appropriate format.