Artificial intelligence-based diagnosis of upper gastrointestinal subepithelial lesions on endoscopic ultrasonography images.

Keiko HiraiTakamichi KuwaharaKazuhiro FurukawaNaomi KakushimaSatoshi FuruneHideko YamamotoTakahiro MarukawaHiromitsu AsaiKenichi MatsuiYoji SasakiDaisuke SakaiKoji YamadaTakahiro NishikawaDaijuro HayashiTomohiko ObayashiTakuma KomiyamaEri IshikawaTsunaki SawadaKeiko MaedaTakeshi YamamuraTakuya IshikawaEizaburo OhnoMasanao NakamuraHiroki KawashimaMasatoshi IshigamiMitsuhiro Fujishiro

Published in: Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association (2021)

The AI system, classifying SELs, showed higher diagnostic performance than that of the experts and may assist in improving the diagnosis of SELs in clinical practice.

Keyphrases

artificial intelligence
deep learning
machine learning
big data
clinical practice
convolutional neural network
magnetic resonance imaging
ultrasound guided
contrast enhanced
magnetic resonance