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

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 non-imaging 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.

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Publication Details

Journal
Frontiers in Public Health
Published
2024-10-23
DOI
https://doi.org/10.3389/fpubh.2024.1448988
Citations
3
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
1.21
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article

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

David Moro Villar, Jorge Fernández-Fabeiro, Alicia Fernandez-Fernandez, J. Mouriño et al.
3 citations
Frontiers in Public Health
Radiomics and Machine Learning in Medical Imaging
1.21
article

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

David Moro Villar, Jorge Fernández-Fabeiro, Alicia Fernandez-Fernandez, J. Mouriño, Álvaro Carballido, Manoel R. Moldes
article en
3 citations

Abstract

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 non-imaging 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.

Frontiers in Public HealthVol. 12
Centro de Supercomputación de Galicia (ES)
Industry, innovation and infrastructure
Openalex Percentile: Top 19%
Radiomics and Machine Learning in Medical Imaging
1.21
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The SINFONIA project repository for AI-based algorithms and health data — David Moro Villar, Jorge Fernández-Fabeiro, et al. · Frontiers in Public Health (2024) | TGRS Research Map | TGRS