Improving risk stratification and detection of early HCC using ultrasound-based deep learning models

Background & Aims: Hepatocellular carcinoma (HCC) surveillance programs are suboptimal. We aimed to design an ultrasound-based deep learning model for HCC risk stratification (STARHE-RISK) and early-stage HCC detection (STARHE-DETECT) in patients with compensated advanced chronic liver disease (...

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Detalhes bibliográficos

Principais autores:	Jérémy Dana, Adrien Meyer, Anita Paisant, Agnès Rode, Riccardo Sartoris, Olivier Séror, Christophe Cassinotto, Laurent Milot, Jules Grégory, Jules Cœur, Jérôme Lebigot, Valentina Schembri, François Villeret, Armelle-Natsuo Takeda, Maxime Ronot, Valérie Vilgrain, Thomas F. Baumert, Benoit Gallix, Nicolas Padoy, Pierre Nahon
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2025-10-01
coleção:	JHEP Reports
Assuntos:	Hepatocellular carcinoma Risk stratification Prediction Ultrasound Deep learning
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2589555925001880
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