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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Detalles Bibliográficos
Autores principales: Batch, Karen E., Yue, Jianwei, Darcovich, Alex, Lupton, Kaelan, Liu, Corinne C., Woodlock, David P., El Amine, Mohammad Ali K., Causa-Andrieu, Pamela I., Gazit, Lior, Nguyen, Gary H., Zulkernine, Farhana, Do, Richard K. G., Simpson, Amber L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924403/
https://www.ncbi.nlm.nih.gov/pubmed/35310959
http://dx.doi.org/10.3389/frai.2022.826402

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924403/
https://www.ncbi.nlm.nih.gov/pubmed/35310959
http://dx.doi.org/10.3389/frai.2022.826402

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