About the seminar presentation

Implementing a research imaging AI model in the clinical practice at the AmsterdamUMC: how to use software tools to standardize continuous integration and deployment of the software

This seminar explores the practical workflow for translating a research imaging AI model into clinical practice, focusing on the role of software automation in ensuring robust and reproducible deployment. Using the deployment of an AI model in a hospital environment as a case study, it highlights how continuous integration and deployment (CI/CD) can be standardized using tools such as unit and integration tests, GitLab pipelines, and containerization. By automating build, test, and deployment stages, this approach minimizes manual intervention, reduces errors, and accelerates the transition from research code to production-ready software. The aim is to demonstrate how reproducible software engineering practices can support safe and scalable clinical translation of AI models.

Registration

Everyone from all disciplines is welcome to attend! The presentation will take place in-person only, and there will be an opportunity to ask questions and engage in lively discussion on the day. The seminar presentation will be followed by lunch (at 12).  The seminar and lunch are free but registration is mandatory. 

About the speaker

Katinka Rus is a research data/software engineer at Amsterdam UMC, location AMC.