IMI-Bigpicture: A Central Repository for Digital Pathology
Publication year
2021Source
Toxicologic Pathology, 49, 4, (2021), pp. 711-713ISSN
Publication type
Article / Letter to editor

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Organization
Pathology
Medical Imaging
Journal title
Toxicologic Pathology
Volume
vol. 49
Issue
iss. 4
Page start
p. 711
Page end
p. 713
Subject
Radboudumc 17: Women's cancers RIHS: Radboud Institute for Health Sciences; Radboudumc 9: Rare cancers RIMLS: Radboud Institute for Molecular Life SciencesAbstract
To address the challenges posed by large-scale development, validation, and adoption of artificial intelligence (AI) in pathology, we have constituted a consortium of academics, small enterprises, and pharmaceutical companies and proposed the BIGPICTURE project to the Innovative Medicines Initiative. Our vision is to become the catalyst in the digital transformation of pathology by creating the first European, ethically compliant, and quality-controlled whole slide imaging platform, in which both large-scale data and AI algorithms will exist. Our mission is to develop this platform in a sustainable and inclusive way, by connecting the community of pathologists, researchers, AI developers, patients, and industry parties based on creating value and reciprocity in use based on a community model as the mechanism for ensuring sustainability of the platform.
This item appears in the following Collection(s)
- Academic publications [205104]
- Electronic publications [103316]
- Faculty of Medical Sciences [81055]
- Open Access publications [71820]
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