An artificial intelligence system for comprehensive pathologic outcome prediction in early gastric cancer through endoscopic image analysis (with video).

Seunghan LeeJiwoon JeonJinbae ParkYoung Hoon ChangCheol Min ShinMi Jin OhSu Hyun KimSeungkyung KangSu Hee ParkSang Gyun KimHyuk-Joon LeeHan-Kwang YangHey Seung LeeSoo-Jeong Cho

Published in: Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association (2024)

AI may assist endoscopists with high predictive performance for differentiation status and invasion depth of EGC. Further research is needed to improve the detection of LVI and LNM.

Keyphrases

artificial intelligence
machine learning
big data
deep learning
ultrasound guided
neoadjuvant chemotherapy
cell migration
loop mediated isothermal amplification
optical coherence tomography
label free
real time pcr
locally advanced
radiation therapy
rectal cancer
lymph node
endoscopic submucosal dissection