Development of <scp>AI</scp> Based Fibrosis Detection Algorithm by <scp>SHG</scp> / <scp>TPEF</scp> Microscopy for Fully Quantified Liver Fibrosis Assessment in <scp>MASH</scp>
This AI-driven approach enables accurate, continuous quantification of liver fibrosis, overcoming the variability of traditional histopathology. The qFibrosis model has potential as a standardised tool for therapeutic evaluation and disease monitoring in MASLD/MASH, representing a significant advancement in liver fibrosis assessment.
Authors
- Mazen Noureddin (ORCID: https://orcid.org/0000-0003-2127-2040)
- Pol Boudes (ORCID: https://orcid.org/0000-0002-8654-0352)
- Dean Tai (ORCID: https://orcid.org/0000-0002-6166-5618)
- Kutbuddin Akbary
- Ren Yayun
Institutions
- Methodist Hospital (US)
- Constellation Pharmaceuticals (United States) (US)
- Histoindex (Singapore) (SG)
Publication Details
- Journal
- Liver International
- Published
- 2025-08-04
- DOI
- https://doi.org/10.1111/liv.70258
- Citations
- 7
- Primary Topic
- Liver Disease Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 9.48