D-AI-COM: A DICOM Reception Node to Automate the Application of Artificial Intelligence Scripts to Medical Imaging Data

dc.contributor.authorVázquez-Ingelmo, Andrea
dc.contributor.authorGarcía-Holgado, Alicia
dc.contributor.authorGarcía-Peñalvo, Francisco José
dc.contributor.authorPérez-Sánchez, Pablo
dc.contributor.authorSánchez-Puente, Antonio
dc.contributor.authorVicente-Palacio, Víctor
dc.contributor.authorDorado-Díaz, Pedro Ignacio
dc.contributor.authorSánchez, Pedro Luis
dc.date.accessioned2026-05-15T12:04:34Z
dc.date.issued2024-05-01
dc.description.abstractArtificial Intelligence (AI) has proven to be useful in several fields. The medical domain is one of the fields that benefits from the application of AI methods to automate and ease complex tasks including disease detection, segmentation, assessment of organ functions, etc. However, applying these kinds of methods to the variety of data formats involved in health contexts is not trivial. It is necessary to provide technologies that enable non-expert users to benefit from AI applications. This work presents a platform that acts as a DICOM reception node with the goal of automating the application of AI algorithms to medical imaging data. This platform is set to ease the process applying AI to their DICOM images by making the whole process transparent and straightforward for users without AI-related or programming skills.
dc.identifier.citationVázquez-Ingelmo, A., García-Holgado, A., García-Peñalvo, F. J., Pérez-Sánchez, P., Sánchez-Puente, A., Vicente-Palacios, V., Dorado-Díaz, P. I., & Sánchez, P. L. (2024). D-AI-COM: A DICOM Reception Node to Automate the Application of Artificial Intelligence Scripts to Medical Imaging Data. In A. Rocha, H. Adeli, G. Dzemyda, F. Moreira, & V. Colla (Eds.), Information Systems and Technologies. WorldCIST 2023 (Vol. 3, pp. 199–206). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-45648-0_20
dc.identifier.urihttps://repositorio.grial.eu/handle/123456789/3308
dc.language.isoen
dc.publisherSpringer
dc.subjectDICOM
dc.subjectHealth Platform
dc.subjectArtificial Intelligence
dc.subjectMedical Imaging Management
dc.subjectInformation System
dc.titleD-AI-COM: A DICOM Reception Node to Automate the Application of Artificial Intelligence Scripts to Medical Imaging Data
dc.typeArticle

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
D-AI-COM-post.pdf
Size:
784.47 KB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:

Collections