SOIN – MI Data Lab: Personalized Ophthalmology Through Collaborative Data Collection and Dynamic Patient Consent
Détails
Télécharger: 35612076.pdf (138.90 [Ko])
Etat: Public
Version: Final published version
Licence: CC BY-NC 4.0
Etat: Public
Version: Final published version
Licence: CC BY-NC 4.0
ID Serval
serval:BIB_B7196B40952E
Type
Partie de livre
Sous-type
Chapitre: chapitre ou section
Collection
Publications
Institution
Titre
SOIN – MI Data Lab: Personalized Ophthalmology Through Collaborative Data Collection and Dynamic Patient Consent
Titre du livre
Challenges of Trustable AI and Added-Value on Health
Editeur
IOS Press
ISBN
978-1-64368-284-6
ISSN
0926-9630
1879-8365
1879-8365
ISSN-L
0926-9630
Statut éditorial
Publié
Date de publication
25/05/2022
Peer-reviewed
Oui
Volume
294
Série
Studies in Health Technology and Informatics
Pages
281-282
Langue
anglais
Résumé
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
Oui
Création de la notice
17/06/2022 13:36
Dernière modification de la notice
05/09/2024 9:11