Artificial Intelligence Can Cut Costs While Maintaining Accuracy in Colorectal Cancer Genotyping

Rising cancer care costs impose financial burdens on health systems. Applying artificial intelligence to diagnostic algorithms may reduce testing costs and avoid wasteful therapy-related expenditures. To evaluate the financial and clinical impact of incorporating artificial intelligence-based determ...

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Detalles Bibliográficos
Autores principales: Kacew, Alec J., Strohbehn, Garth W., Saulsberry, Loren, Laiteerapong, Neda, Cipriani, Nicole A., Kather, Jakob N., Pearson, Alexander T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8217761/
https://www.ncbi.nlm.nih.gov/pubmed/34168975
http://dx.doi.org/10.3389/fonc.2021.630953

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8217761/
https://www.ncbi.nlm.nih.gov/pubmed/34168975
http://dx.doi.org/10.3389/fonc.2021.630953

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