A team of researchers of the INCISIVE consortium published the article ‘The Holistic Perspective of the INCISIVE Project—Artificial Intelligence in Screening Mammography’ in the scientific journal Applied Sciences.

The paper presents the INCISIVE project initiative towards enhancing AI solutions for health imaging by unifying, harmonizing, and securely sharing scattered cancer-related data to ensure large datasets which are critically needed to develop and evaluate trustworthy AI models. It also explains the vision of the INCISIVE pan European federated repository of health images and describes the underlying platform along with the adopted principles and solutions for federated data sharing.

The article features experiences and examples of breast cancer data integration and mammography collection, indicating the current progress, challenges, and future directions.

Specifically, the authors mention the data/image types to be integrated, data collection steps, the guidelines for annotation of mammography examinations, and the process of uploading de-identified data. Finally, they also describe and illustrate the retrospective collection of mammography images from several perspectives for possible AI use cases.

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