Observational studyJournal of clinical pathology2026
AI portal tract detection and characterisation for a regional analysis of steatosis and inflammation in MASLD, MASH and AIH.
Observational study in Journal of clinical pathology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- How to apply artificial intelligence (AI) to facilitate and enhance MASH trials.Hepatology international · 2026Review
- Review
- Liver Innervation in Health and Disease: Neuroimmune-Neurovascular Interface and Future Therapeutic Implications.Biomedicines · 2025Review
Corrections and comments
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsAnnotation of liver biopsies for disease staging is increasingly aided by digital pathology; however, existing systems do not quantify inflammation and steatosis within an anatomical framework. We hypothesise that an artificial intelligence (AI) system that quantifies portal tracts (PT) and the anatomical distribution of steatotic vesicles and inflammatory cells will align with manual pathologist scoring and stratify liver diseases.
methodsIn this observational, cross-sectional study, digitised images of haematoxylin and eosin-stained specimens were pooled from four independent cohorts of metabolic dysfunction-associated steatotic liver disease (MASLD) or steatohepatitis (MASH) or autoimmune hepatitis (AIH) (n=390: 89 MASLD, 238 MASH, 63 AIH). PT, steatosis, and inflammation were quantified using a proprietary AI system and scored by expert pathologists.
resultsThe percentage of steatosis was higher in MASH (7.5%) than in MASLD (3.2%). Lobular regions had larger steatotic vesicles (260 vs 190 μm
conclusionA new AI system for anatomical quantification of liver biopsy features measured variation in fat and inflammation across the lobule. It showed that inflammation burden was higher in AIH than MASLD/MASH, despite equivalent portal grades, providing objective support for histological scoring.
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