FibrAIm – The machine learning approach to identify the early stage of liver fibrosis and steatosis
Given the results obtained during the trials, FibrAIm could become a valuable tool for diagnosing patients at risk of liver early steatosis and fibrosis by identifying cases based on standardized screening tests.
Authors
- Arleta Kowala‐Piaskowska (ORCID: https://orcid.org/0000-0002-2087-3410)
- Piotr Łukasiak (ORCID: https://orcid.org/0000-0003-4012-9135)
- Agata Zientarska
- Agnieszka Adamek (ORCID: https://orcid.org/0000-0001-8290-3497)
- Błażej Rozpłochowski (ORCID: https://orcid.org/0000-0003-1627-8456)
- Barbara Ginter-Matuszewska (ORCID: https://orcid.org/0000-0003-4516-1409)
- Maciej Majchrzak (ORCID: https://orcid.org/0000-0002-9739-2607)
Institutions
- Poznań University of Technology (PL)
Publication Details
- Journal
- International Journal of Medical Informatics
- Published
- 2025-02-15
- DOI
- https://doi.org/10.1016/j.ijmedinf.2025.105837
- Citations
- 6
- Primary Topic
- Liver Disease Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 8.13
Funders
- Ministerstwo Edukacji i Nauki
- Agencja Badań Medycznych