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...

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Detalles Bibliográficos
Autores principales: Blanes-Vidal, Victoria, Lindvig, Katrine P., Thiele, Maja, Nadimi, Esmaeil S., Krag, Aleksander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
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

Internet

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

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