Summary
Artificial intelligence tools and deep learning models are a powerful tool in cancer treatment. They can be used to analyse digital images of tumour biopsy samples, helping physicians quickly classify the type of cancer, predict prognosis and guide a course of treatment for the patient. However, unless these algorithms are properly calibrated, they can sometimes make inaccurate or biased predictions, as Howard et al. demonstrate in this study.
The impact of site-specific digital histology signatures on deep learning model accuracy and bias (20 July 2021)
https://www.nature.com/articles/s41467-021-24698-1
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