Transforming a clinical study database into a structured database adapted to artificial intelligence applications

20260 citationsJournal Articlegold Open Access

Authors

Thibault Sauron · Université Paris Cité

Carole Lazarus · Philips (France)

Camille Kurtz · Université Paris Cité

Florence Cloppet · Université Paris Cité

I. Thomassin Naggara · Sorbonne Université

EURAD Study Group

Édouard Poncelet · Centre Hospitalier de Valenciennes

Abstract

Clinical trial imaging databases are not adapted for AI model development. A curation process of MRI databases was developed for machine learning applications. We share the open-source tools and methodology developed in this study.

Topics & Keywords

Artificial Intelligence in Healthcare and Education Radiomics and Machine Learning in Medical Imaging AI in cancer detection

UN Sustainable Development Goals

Reduced inequalities

Publication Details

Published in: Insights into Imaging

Volume 17, Issue 1, pp. 43-43

DOI: 10.1186/s13244-025-02087-2

Field-Weighted Citation Impact: 0.00