FAIR Multimodal PET-CT Dataset Created for AI-Based Prediction of Neoadjuvant Treatment Response in Breast Cancer

A FAIR-compliant multimodal PET-CT & clinical dataset for predicting neoadjuvant therapy response in locally advanced breast cancer was integrated into the EUCAIM federated infrastructure, tackling data bottlenecks for future multicenter AI studies.

• This study focused on data curation and harmonization; predictive AI modeling is ongoing and not yet reported.
• The dataset comprises real-world PET-CT and clinical information, but the exact number of patients was not provided in the source.
• Key limitation: data originate from a single hospital, potentially limiting generalizability; external multicentric validation of any future models is required.

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