Artificial intelligence in gastric cancer: a systematic review

P Jin, X Ji, W Kang, Y Li, H Liu, F Ma, S Ma… - Journal of cancer …, 2020 - Springer
Objective This study aims to systematically review the application of artificial intelligence (AI)
techniques in gastric cancer and to discuss the potential limitations and future directions of …

Artificial intelligence in endoscopy

Y Okagawa, S Abe, M Yamada, I Oda… - Digestive Diseases and …, 2022 - Springer
Artificial intelligence (AI) is rapidly developing in various medical fields, and there is an
increase in research performed in the field of gastrointestinal (GI) endoscopy. In particular …

Kyoto international consensus report on anatomy, pathophysiology and clinical significance of the gastro-oesophageal junction

K Sugano, SJ Spechler, EM El-Omar, KEL McColl… - Gut, 2022 - gut.bmj.com
Objective An international meeting was organised to develop consensus on (1) the
landmarks to define the gastro-oesophageal junction (GOJ),(2) the occurrence and …

Standalone performance of artificial intelligence for upper GI neoplasia: a meta-analysis

J Arribas, G Antonelli, L Frazzoni, L Fuccio, A Ebigbo… - Gut, 2021 - gut.bmj.com
Objective Artificial intelligence (AI) may reduce underdiagnosed or overlooked upper GI
(UGI) neoplastic and preneoplastic conditions, due to subtle appearance and low disease …

Accurate diagnosis and prognosis prediction of gastric cancer using deep learning on digital pathological images: A retrospective multicentre study

B Huang, S Tian, N Zhan, J Ma, Z Huang, C Zhang… - …, 2021 - thelancet.com
Background To reduce the high incidence and mortality of gastric cancer (GC), we aimed to
develop deep learning-based models to assist in predicting the diagnosis and overall …

Deep learning system compared with expert endoscopists in predicting early gastric cancer and its invasion depth and differentiation status (with videos)

L Wu, J Wang, X He, Y Zhu, X Jiang, Y Chen… - Gastrointestinal …, 2022 - Elsevier
Background and Aims We aimed to develop and validate a deep learning–based system
that covers various aspects of early gastric cancer (EGC) diagnosis, including detecting …

Real-time artificial intelligence for detecting focal lesions and diagnosing neoplasms of the stomach by white-light endoscopy (with videos)

L Wu, M Xu, X Jiang, X He, H Zhang, Y Ai… - Gastrointestinal …, 2022 - Elsevier
Background and Aims White-light endoscopy (WLE) is the most pivotal tool to detect gastric
cancer in an early stage. However, the skill among endoscopists varies greatly. Here, we …

[HTML][HTML] The accuracy of artificial intelligence in the endoscopic diagnosis of early gastric cancer: pooled analysis study

PC Chen, YR Lu, YN Kang, CC Chang - Journal of medical Internet …, 2022 - jmir.org
Background Artificial intelligence (AI) for gastric cancer diagnosis has been discussed in
recent years. The role of AI in early gastric cancer is more important than in advanced gastric …

Real-time use of artificial intelligence for diagnosing early gastric cancer by magnifying image-enhanced endoscopy: a multicenter diagnostic study (with videos)

X He, L Wu, Z Dong, D Gong, X Jiang, H Zhang… - Gastrointestinal …, 2022 - Elsevier
Background and Aims Endoscopy is a pivotal method for detecting early gastric cancer
(EGC). However, skill among endoscopists varies greatly. Here, we proposed a deep …

Current evidence and future perspective of accuracy of artificial intelligence application for early gastric cancer diagnosis with endoscopy: a systematic and meta …

K Jiang, X Jiang, J Pan, Y Wen, Y Huang… - Frontiers in …, 2021 - frontiersin.org
Background & Aims: Gastric cancer is the common malignancies from cancer worldwide.
Endoscopy is currently the most effective method to detect early gastric cancer (EGC) …