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Development and validation of an artificial intelligence model for predicting post‐transplant hepatocellular cancer recurrence
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10693300/ https://www.ncbi.nlm.nih.gov/pubmed/37904670 http://dx.doi.org/10.1002/cac2.12468 |
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author | Lai, Quirino De Stefano, Carmine Emond, Jean Bhangui, Prashant Ikegami, Toru Schaefer, Benedikt Hoppe‐Lotichius, Maria Mrzljak, Anna Ito, Takashi Vivarelli, Marco Tisone, Giuseppe Agnes, Salvatore Ettorre, Giuseppe Maria Rossi, Massimo Tsochatzis, Emmanuel Lo, Chung Mau Chen, Chao‐Long Cillo, Umberto Ravaioli, Matteo Lerut, Jan Paul |
author_facet | Lai, Quirino De Stefano, Carmine Emond, Jean Bhangui, Prashant Ikegami, Toru Schaefer, Benedikt Hoppe‐Lotichius, Maria Mrzljak, Anna Ito, Takashi Vivarelli, Marco Tisone, Giuseppe Agnes, Salvatore Ettorre, Giuseppe Maria Rossi, Massimo Tsochatzis, Emmanuel Lo, Chung Mau Chen, Chao‐Long Cillo, Umberto Ravaioli, Matteo Lerut, Jan Paul |
author_sort | Lai, Quirino |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-10693300 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-106933002023-12-03 Development and validation of an artificial intelligence model for predicting post‐transplant hepatocellular cancer recurrence Lai, Quirino De Stefano, Carmine Emond, Jean Bhangui, Prashant Ikegami, Toru Schaefer, Benedikt Hoppe‐Lotichius, Maria Mrzljak, Anna Ito, Takashi Vivarelli, Marco Tisone, Giuseppe Agnes, Salvatore Ettorre, Giuseppe Maria Rossi, Massimo Tsochatzis, Emmanuel Lo, Chung Mau Chen, Chao‐Long Cillo, Umberto Ravaioli, Matteo Lerut, Jan Paul Cancer Commun (Lond) Letters to the Editor John Wiley and Sons Inc. 2023-10-30 /pmc/articles/PMC10693300/ /pubmed/37904670 http://dx.doi.org/10.1002/cac2.12468 Text en © 2023 The Authors. Cancer Communications published by John Wiley & Sons Australia, Ltd on behalf of SUN YAT‐SEN UNIVERSITY CANCER CENTER. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Letters to the Editor Lai, Quirino De Stefano, Carmine Emond, Jean Bhangui, Prashant Ikegami, Toru Schaefer, Benedikt Hoppe‐Lotichius, Maria Mrzljak, Anna Ito, Takashi Vivarelli, Marco Tisone, Giuseppe Agnes, Salvatore Ettorre, Giuseppe Maria Rossi, Massimo Tsochatzis, Emmanuel Lo, Chung Mau Chen, Chao‐Long Cillo, Umberto Ravaioli, Matteo Lerut, Jan Paul Development and validation of an artificial intelligence model for predicting post‐transplant hepatocellular cancer recurrence |
title | Development and validation of an artificial intelligence model for predicting post‐transplant hepatocellular cancer recurrence |
title_full | Development and validation of an artificial intelligence model for predicting post‐transplant hepatocellular cancer recurrence |
title_fullStr | Development and validation of an artificial intelligence model for predicting post‐transplant hepatocellular cancer recurrence |
title_full_unstemmed | Development and validation of an artificial intelligence model for predicting post‐transplant hepatocellular cancer recurrence |
title_short | Development and validation of an artificial intelligence model for predicting post‐transplant hepatocellular cancer recurrence |
title_sort | development and validation of an artificial intelligence model for predicting post‐transplant hepatocellular cancer recurrence |
topic | Letters to the Editor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10693300/ https://www.ncbi.nlm.nih.gov/pubmed/37904670 http://dx.doi.org/10.1002/cac2.12468 |
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