Position of the AI for Health Imaging (AI4HI) network on metadata models for imaging biobanks

Position of the AI for Health Imaging (AI4HI) network on metadata models for imaging biobanks

Abstract A huge amount of imaging data is becoming available worldwide and an incredible range of possible improvements can be provided by artificial intelligence algorithms in clinical care for diagnosis and decision support. In this context, it has become essential to properly manage and handle th...

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Bibliographic Details
Main Authors: Haridimos Kondylakis, Esther Ciarrocchi, Leonor Cerda-Alberich, Ioanna Chouvarda, Lauren A. Fromont, Jose Manuel Garcia-Aznar, Varvara Kalokyri, Alexandra Kosvyra, Dawn Walker, Guang Yang, Emanuele Neri, the AI4HealthImaging Working Group on metadata models**
Format: Article
Language:English
Published: SpringerOpen 2022-07-01
Series:European Radiology Experimental
Subjects:
Artificial intelligence
Diagnostic imaging
Metadata
Radiomics
Radiation therapy
Online Access:https://doi.org/10.1186/s41747-022-00281-1

Internet

https://doi.org/10.1186/s41747-022-00281-1

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