SOIN – MI Data Lab: Personalized Ophthalmology Through Collaborative Data Collection and Dynamic Patient Consent

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Ressource 1Download: 35612076.pdf (138.90 [Ko])
State: Public
Version: Final published version
License: CC BY-NC 4.0
Serval ID
serval:BIB_B7196B40952E
Type
A part of a book
Publication sub-type
Chapter: chapter ou part
Collection
Publications
Institution
Title
SOIN – MI Data Lab: Personalized Ophthalmology Through Collaborative Data Collection and Dynamic Patient Consent
Title of the book
Challenges of Trustable AI and Added-Value on Health
Author(s)
Bergin Ciara, Mantel Irmela, Schlingemann Reinier O., Tomasoni Mattia, Wolfensberger Thomas J.
Publisher
IOS Press
ISBN
978-1-64368-284-6
ISSN
0926-9630
1879-8365
ISSN-L
0926-9630
Publication state
Published
Issued date
25/05/2022
Peer-reviewed
Oui
Volume
294
Series
Studies in Health Technology and Informatics
Pages
281-282
Language
english
Abstract
The Swiss Ophthalmic Image Network (SOIN) is part of the Swiss Personalized Health Network (SPHN). SOIN contains a collaborative, clinical research environment, MI Data Lab, which allows privacy-preserving, data-driven, research. Personalized care of chronic ocular disease, based on Machine Learning (ML) and medical imaging, can dramatically improve quality of life and reduce the burden on health and social care systems. MI Data Lab allows research partners to consolidate their data in a space where doctors and data scientists cooperate to design novel ML algorithms, on curated datasets. To date, we have created several algorithms to detect ocular biomarkers automatically, and applied such tools to 100k+ retinal images. MI Data Lab enables the development of predictive models, the extraction novel traits to be explored in terms of -omic associations, treatment outcome, and priors for disease progression.
Pubmed
Open Access
Yes
Create date
17/06/2022 13:36
Last modification date
05/09/2024 9:11
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