Structuring and centralizing breast cancer real-world biomarker data from pathology reports through C-LAB artificial intelligence platform

Structuring and centralizing breast cancer real-world biomarker data from pathology reports through C-LAB artificial intelligence platform

Purpose To evaluate the effectiveness of C-LAB ® , an artificial intelligence (AI) platform, in extracting, structuring, and centralizing biomarker data from breast cancer pathology reports within the challenging, heterogeneous dataset of the Institut de Cancérologie de l’Ouest (ICO). Methods C-LAB...

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Main Authors: Florent Le Borgne, Camille Garnier, Camille Morisseau, Yanis Navarrete, Yanina Echeverria, Juan Mir, Jaume Calafell, Tanguy Perennec, Olivier Kerdraon, Jean-Sébastien Frenel, Judith Raimbourg, Mario Campone, Maria Fe Paz, François Bocquet
Format: Article
Language:English
Published: SAGE Publishing 2025-02-01
Series:Digital Health
Online Access:https://doi.org/10.1177/20552076251323110
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https://doi.org/10.1177/20552076251323110

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