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

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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Bibliographic Details
Main Authors: Alec J. Kacew, Garth W. Strohbehn, Loren Saulsberry, Neda Laiteerapong, Nicole A. Cipriani, Jakob N. Kather, Alexander T. Pearson
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Oncology
Subjects:
deep learning
microsatellite instability (MSI)
colorectal (colon) cancer
financial implication
digital biomarker
digital pathology
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.630953/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2021.630953/full

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