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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; ... EurHeCaLT and the West-East LT Study Group; + view all (2023) Development and validation of an artificial intelligence model for predicting post-transplant hepatocellular cancer recurrence. Cancer Communications 10.1002/cac2.12468. (In press). Green open access

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Type: Article
Title: Development and validation of an artificial intelligence model for predicting post-transplant hepatocellular cancer recurrence
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1002/cac2.12468
Publisher version: https://doi.org/10.1002/cac2.12468
Language: English
Additional information: This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Inst for Liver and Digestive Hlth
URI: https://discovery.ucl.ac.uk/id/eprint/10181073
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