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METHODS article

Front. Public Health
Sec. Digital Public Health
Volume 12 - 2024 | doi: 10.3389/fpubh.2024.1448988

The SINFONIA project repository for AI-based algorithms and health data

Provisionally accepted
  • Centro de Supercomputación de Galicia, Santiago de Compostela, Galicia, Spain

The final, formatted version of the article will be published soon.

    The SINFONIA project's main objective is to develop novel methodologies and tools that will provide a comprehensive risk appraisal for detrimental effects of radiation exposure on patients, workers, caretakers, and comforters, the public, and the environment during the management of patients suspected or diagnosed with lymphoma, brain tumors, and breast cancers.The project plan defines a series of key objectives to be achieved on the way to the main objective. One of these objectives is to develop and operate a repository to collect, pool, and share data from imaging and non-imaging examinations and radiation therapy sessions, histological results, and demographic information related to individual patients with lymphoma, brain tumors, and breast cancers.This paper presents the final version of that repository, a cloud-based platform for imaging and nonimaging data. It results from the implementation and integration of several software tools and programming frameworks under an evolutive architecture according to the project partners' needs and the constraints of the General Data Protection Regulation. It provides, among other services, data uploading and downloading, data sharing, file decompression, data searching, DICOM previsualization, and an infrastructure for submitting and running Artificial Intelligence models.

    Keywords: Artificial intelligence AI, cancer imaging, Cloud Datasets, repository, Health data

    Received: 26 Jun 2024; Accepted: 26 Sep 2024.

    Copyright: © 2024 Fernandez-Fabeiro, Carballido, Fernández-Fernández, Moldes, Villar and Mouriño. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Jose C. Mouriño, Centro de Supercomputación de Galicia, Santiago de Compostela, Galicia, Spain

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.