With the development of bioinformatics analysis, including artificial intelligence and deep learning, the use of deep learning-based classifiers has identified mutations in APC, KRAS, PIK3CA, SMAD4, and TP53 from H&E stained CRC pathology images as predictive of patient prognosis (52). This evidence concerns the gene APC and colorectal carcinoma.