Impact of a deep learning assistant on the histopathologic classification of liver cancer

Artificial intelligence (AI) algorithms continue to rival human performance on a variety of clinical tasks, while their actual impact on human diagnosticians, when incorporated into clinical workflows, remains relatively unexplored. In this study, we developed a deep learning-based assistant to help...

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Detalles Bibliográficos
Autores principales: Kiani, Amirhossein, Uyumazturk, Bora, Rajpurkar, Pranav, Wang, Alex, Gao, Rebecca, Jones, Erik, Yu, Yifan, Langlotz, Curtis P., Ball, Robyn L., Montine, Thomas J., Martin, Brock A., Berry, Gerald J., Ozawa, Michael G., Hazard, Florette K., Brown, Ryanne A., Chen, Simon B., Wood, Mona, Allard, Libby S., Ylagan, Lourdes, Ng, Andrew Y., Shen, Jeanne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7044422/
https://www.ncbi.nlm.nih.gov/pubmed/32140566
http://dx.doi.org/10.1038/s41746-020-0232-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7044422/
https://www.ncbi.nlm.nih.gov/pubmed/32140566
http://dx.doi.org/10.1038/s41746-020-0232-8

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