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Developing a Cancer Digital Twin: Supervised Metastases Detection From Consecutive Structured Radiology Reports

The development of digital cancer twins relies on the capture of high-resolution representations of individual cancer patients throughout the course of their treatment. Our research aims to improve the detection of metastatic disease over time from structured radiology reports by exposing prediction...

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Principais autores: Karen E. Batch, Jianwei Yue, Alex Darcovich, Kaelan Lupton, Corinne C. Liu, David P. Woodlock, Mohammad Ali K. El Amine, Pamela I. Causa-Andrieu, Lior Gazit, Gary H. Nguyen, Farhana Zulkernine, Richard K. G. Do, Amber L. Simpson
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2022-03-01
Serier:Frontiers in Artificial Intelligence
Fag:
digital twins
cancer
metastases
machine learning
radiology
natural language processing (NLP)
Online adgang:https://www.frontiersin.org/articles/10.3389/frai.2022.826402/full
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