Cargando…
Artificial intelligence outperforms standard blood-based scores in identifying liver fibrosis patients in primary care
For years, hepatologists have been seeking non-invasive methods able to detect significant liver fibrosis. However, no previous algorithm using routine blood markers has proven to be clinically appropriate in primary care. We present a novel approach based on artificial intelligence, able to predict...
| Autores principales: | , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8861108/ https://www.ncbi.nlm.nih.gov/pubmed/35190650 http://dx.doi.org/10.1038/s41598-022-06998-8 |