The aim of this deliverable is to guide new use cases with the implementation and validation of AI medical models. We claim that a good practice for the development of AI medical models should cover the following steps:
Infrastructure set-up.
Deployment, execution and fine tuning of AI models.
Model validation.
These main steps are analysed below by the three use cases:
NTT DATA
Eurecat Deep Lung
CVC Up4Heath
