Prediction of lymph node metastasis in t1 colorectal cancer using artificial intelligence with hematoxylin and eosin-stained whole-slide-images of endoscopic and surgical resection specimens

HIGHLIGHTS

• What: To validate with an independent cohort the authors developed a model with four versions comprising various combinations of training and_(881 patients): Version Train and Test: surgical specimens; Version Train and Test: endoscopic and surgically resected specimens; Version Train: endoscopic and surgical specimens and Test: surgical specimens; Version Train: endoscopic and surgical specimens and Test: endoscopic specimens. The authors aimed to apply the AI program to predict LNM in T1 CRC samples. The model showed better prediction performance, with an AUC of 0.758-0.830 for the training set and 0.781-0.824 for . . .
  

   

  

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