Skip to main content
WorldCist'23 - 11st World Conference on Information Systems and Technologies

Full Program »

D-Ai-Com: A Dicom Reception Node To Automate The Application of Artificial Intelligence Scripts To Medical Imaging Data

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 program-ming skills.

Andrea Vazquez Ingelmo
USAL
Spain

Alicia Garcia Holgado
USAL
Spain

Francisco José Garcia Peñalvo
USAL
Spain

Pablo Pérez-Sánchez
Biomedical Research Institute of Salamanca (IBSAL)
Spain

Antonio Sánchez-Puente
University Hospital of Salamanca and CIBERCV
Spain

Víctor Vicente-Palacios
Philips Clinical Science

Pedro Ignacio Dorado-Díaz
Biomedical Research Institute of Salamanca (IBSAL)
Spain

Pedro Luis Sánchez
University Hospital of Salamanca. CIBERCV and Biomedical Research Institute of Sala-manca (IBSAL)
Spain

 


Powered by OpenConf®
Copyright ©2002-2022 Zakon Group LLC