Deep learning helps discriminate between autoimmune hepatitis and primary biliary cholangitis

Deep learning helps discriminate between autoimmune hepatitis and primary biliary cholangitis

Background & Aims: Biliary abnormalities in autoimmune hepatitis (AIH) and interface hepatitis in primary biliary cholangitis (PBC) occur frequently, and misinterpretation may lead to therapeutic mistakes with a negative impact on patients. This study investigates the use of a deep learning...

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Main Authors: Alessio Gerussi, Oliver Lester Saldanha, Giorgio Cazzaniga, Damiano Verda, Zunamys I. Carrero, Bastian Engel, Richard Taubert, Francesca Bolis, Laura Cristoferi, Federica Malinverno, Francesca Colapietro, Reha Akpinar, Luca Di Tommaso, Luigi Terracciano, Ana Lleo, Mauro Viganó, Cristina Rigamonti, Daniela Cabibi, Vincenza Calvaruso, Fabio Gibilisco, Nicoló Caldonazzi, Alessandro Valentino, Stefano Ceola, Valentina Canini, Eugenia Nofit, Marco Muselli, Julien Calderaro, Dina Tiniakos, Vincenzo L’Imperio, Fabio Pagni, Nicola Zucchini, Pietro Invernizzi, Marco Carbone, Jakob Nikolas Kather
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:JHEP Reports
Subjects:
Computational pathology
Digital pathology
Liver
Rare liver diseases
Autoimmunity
Artificial intelligence
Online Access:http://www.sciencedirect.com/science/article/pii/S2589555924002027
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http://www.sciencedirect.com/science/article/pii/S2589555924002027

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