IMI-Bigpicture, A Digital Pathology Platform for FAIR Data sharing and AI development
Bigpicture is an IMI funded project that has developed a digital pathology repository and services for FAIR data sharing and AI development. Bigpicture has developed a data model, tools, and guides to support data extraction, conversion, and sharing, based on DICOM, ISO, and common ontologies. Bigpicture data collection is organized into 7 clinical nodes, each with a node coordinator and a specific data collection strategy. The skin node focuses on skin cancer cases and observations. I will in this talk present the practical steps from clinical data to the final sharable dataset, based on experiences from the first collected skin dataset.
Anna Bodén
Anna Bodén has served as a consulting pathologist and has experienced being the prior assistant head of Clinical Pathology at Linköping University, Sweden. She has spearheaded digital pathology implementation in the department with her specialization in breast pathology. Today, all pathologists at the clinic utilize digital pathology, including remote reporting backed by digital workflows. She aims to integrate AI into clinical practice and researches pathologist-AI interactions, contributing to the European project Bigpicture on AI-driven digital pathology and ethical health data usage. Additionally. Moreover she’s part of a national committee advising on digital pathology standards (NAG digital Patologi), including developing protocols for the transition from traditional to digital methods.
