D-AI-COM: A DICOM Reception Node to Automate the Application of Artificial Intelligence Scripts to Medical Imaging Data
Date
2024-05-01
Authors
Vázquez-Ingelmo, Andrea
García-Holgado, Alicia
García-Peñalvo, Francisco José
Pérez-Sánchez, Pablo
Sánchez-Puente, Antonio
Vicente-Palacio, Víctor
Dorado-Díaz, Pedro Ignacio
Sánchez, Pedro Luis
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Abstract
Artificial 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.
Description
Keywords
DICOM, Health Platform, Artificial Intelligence, Medical Imaging Management, Information System
Citation
Vázquez-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