Differentiating intramucosal and submucosal Barrett’s neoplasia using a novel deep convolutional neural network during endoscopy

Aims Barrett’s intramucosal neoplasia can be endoscopically cured with minimal risk of lymph node metastasis while submucosal neoplasia poses higher risk and usually requires surgery. Endoscopic optical diagnosis is often challenging to differentiate between the two. We aim to develop an artificial intelligence (AI) system using a deep neural network to stage Barrett’s neoplasia into intramucosal (LGD, HGD, pT1a) and submucosal (pT1b) lesions.