AI-assisted fibrosis scoring in MASH: Exploring pathologist decision-making with an SHG-based AI digital pathology tool
AI-powered digital pathology (AI-DP) as a pathologist's assistance tool can be utilized to improve pathologist concordance. However, pathologist judgement remains critical. In this study, we evaluated how pathologists used the assistance tool and how the platform impacted their decision-making. The findings are significant for pathologists and clinical researchers as they provide guidance for the well-informed use of SHG-based AI-DP as a tool to aid pathologists in fibrosis scoring in metabolic dysfunction-associated steatohepatitis. The insights gained can further inform policymakers about the integration of AI technologies in clinical trials or pathology workflows in clinical practice, promoting standardized practices.
Authors
- Gwyneth Shook Ting Soon (ORCID: https://orcid.org/0000-0001-5318-9327)
- Saswata Talukdar (ORCID: https://orcid.org/0000-0003-3042-0025)
- Arun Jayant Sanyal (ORCID: https://orcid.org/0000-0001-8682-5748)
- Serene Lek
- Michael O. Idowu (ORCID: https://orcid.org/0000-0001-9590-4966)
- Asad Ali (ORCID: https://orcid.org/0000-0002-9327-1285)
- Desiree Abdurrachim
- Samuel S. Engel
- Gideon Ho
- Aileen Wee
- Timothy J. Kendall
- Chih-Liang Chin
Institutions
- Merck & Co., Inc., Rahway, NJ, USA (United States) (US)
- Virginia Commonwealth University (US)
- Quantitative BioSciences (US)
- National Cancer Institute (US)
- National University Hospital (SG)
- Centre for Inflammation Research (GB)
- Histoindex (Singapore) (SG)
Publication Details
- Journal
- JHEP Reports
- Published
- 2026-01-29
- DOI
- https://doi.org/10.1016/j.jhepr.2026.101752
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00