Testing and evaluation of AI algorithms
Service Description
This service assesses algorithm performance, development progress, and adherence to AI Act regulations for implementation in clinical practice.
The AI validation includes several aspects, aligned with TEF guidelines, and EU regulation:
1) Bias evaluation
2) Accuracy evaluation
3) Trustworthiness evaluation
4) Uncertainty evaluation.
The validation will be offered on three levels, based on the source of the validation dataset:
1) End-user provides the data for validation (input features)
2) End-user provides data for validation at the start from raw data of the initial dataset (data curation and feature extraction on the validation set will be extracted by the Lab within the process of validation)
3) The POLIMI Lab provides a tailored external validation set acquired from other clinical centers.
Keywords: Validation; Bias; Accuracy, Trustworthiness, Uncertainty, AI algorighm AI validation
Provider & Contact
The price differs based on the need of external dataset for validation. The prices are only tentative and will be further discussed with the SME or startup depending on their needs and the scope of the evaluation.
Operational Details
- AI Act