The ODELIA project has successfully concluded its first project year and reached noteworthy milestones.
In 2023, the project embarked on establishing a robust decentralised platform, laying the foundation for collaborative AI model training across multiple institutions without centralised data sharing. A comprehensive manual for implementing SL on-site was compiled, encompassing hardware and software prerequisites, preprocessing workflows, and seamless integration into existing workflows.
The partners demonstrated the practical application of SL in breast cancer detection using MRI data, marking a significant milestone. The team released a minimal viable product, showcasing decentralised model training capabilities and its efficacy in utilising publicly available data.
A technical documentation website for ODELIA’s open-source SL implementation was set up. This site serves as a valuable resource for those looking to leverage ODELIA’s technical prowess for diverse use cases, promoting collaborative innovation. The documentation is openly accessible at odelia-ai.github.io.
Furthermore, strides have been made in enhancing the user experience with the development of a user-friendly front end. This facilitates seamless data gathering for new AI model development while bridging the crucial gap to clinical usability.
Overall, ODELIA’s achievements in 2023 signify a promising trajectory, underlining its commitment to advancing the frontiers of decentralised and collaborative medical AI.
Read up on our public deliverables from year 1 here.
