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IMI-Bigpicture: A Central Repository for Digital Pathology
- Source :
- Toxicologic Pathology, 49, 711-713, Toxicologic Pathology, 49, 4, pp. 711-713
- Publication Year :
- 2021
-
Abstract
- Contains fulltext : 235767.pdf (Publisher’s version ) (Open Access) 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.
- Subjects :
- Value (ethics)
Knowledge management
040301 veterinary sciences
Rare cancers Radboud Institute for Molecular Life Sciences [Radboudumc 9]
Toxicology
030226 pharmacology & pharmacy
Pathology and Forensic Medicine
0403 veterinary science
03 medical and health sciences
0302 clinical medicine
Reciprocity (social psychology)
Artificial Intelligence
Humans
Molecular Biology
business.industry
Digital transformation
Digital pathology
04 agricultural and veterinary sciences
Cell Biology
Women's cancers Radboud Institute for Health Sciences [Radboudumc 17]
Pathologists
Public–private partnership
Community model
Central repository
Sustainability
business
Algorithms
Subjects
Details
- ISSN :
- 01926233
- Volume :
- 49
- Database :
- OpenAIRE
- Journal :
- Toxicologic Pathology
- Accession number :
- edsair.doi.dedup.....895ac5715156460f9c71a0f9d8f21ffb