Combining a deep learning model with clinical data better predicts hepatocellular carcinoma behavior following surgery

Combining a deep learning model with clinical data better predicts hepatocellular carcinoma behavior following surgery

Hepatocellular carcinoma (HCC) is among the most common cancers worldwide, and tumor recurrence following liver resection or transplantation is one of the highest contributors to mortality in HCC patients after surgery. Using artificial intelligence (AI), we developed an interdisciplinary model to p...

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Bibliographic Details
Main Authors: Benoit Schmauch, Sarah S. Elsoukkary, Amika Moro, Roma Raj, Chase J. Wehrle, Kazunari Sasaki, Julien Calderaro, Patrick Sin-Chan, Federico Aucejo, Daniel E. Roberts
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Journal of Pathology Informatics
Subjects:
Hepatocellular carcinoma
Artificial intelligence
Machine learning
Deep learning
Prognostic modeling
Online Access:http://www.sciencedirect.com/science/article/pii/S2153353923001748
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