Artificial Intelligence-assisted Digital Pathology For Non-alcoholic Steatohepatitis: Current Status And Future Directions

Article Authors: Vlad Ratziu, Marcus Hompesch, Mathieu Petitjean, Cindy Serdjebi, Janani S. Iyer, Anil V. Parwani, Dean Tai, Elisabetta Bugianesi, Kenneth Cusi, Scott L. Friedman, Eric Lawitz, Manuel Romero-Gómez, Detlef Schuppan, Rohit Loomba, Valérie Paradis, Cynthia Behling, Arun J. Sanyal

Publication: Journal of Hepatology, 2023

About This Article

A recently published article in the Journal of Hepatology, authored by members of Metabolic Continuum Roundtable, discusses the integration of digital pathology (DP) workflows with artificial intelligence (AI) to improve histological analysis for (nonalcoholic) metabolic dysfunction-associated steatohepatitis (NASH/MASH). The article provides an overview of DP/AI tools in development for NASH/MASH, highlighting key regulatory considerations and how these advanced methods have the potential to improve treatment precision, efficacy assessment, and the development of safe and effective therapeutics in the field.

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