[HTML][HTML] Artificial intelligence in gastric cancer: Application and future perspectives

PH Niu, LL Zhao, HL Wu, DB Zhao… - World journal of …, 2020 - ncbi.nlm.nih.gov
Gastric cancer is the fourth leading cause of cancer-related mortality across the globe, with a
5-year survival rate of less than 40%. In recent years, several applications of artificial …

Application of artificial intelligence for improving early detection and prediction of therapeutic outcomes for gastric cancer in the era of precision oncology

Z Wang, Y Liu, X Niu - Seminars in Cancer Biology, 2023 - Elsevier
Gastric cancer is a leading contributor to cancer incidence and mortality globally. Recently,
artificial intelligence approaches, particularly machine learning and deep learning, are …

[PDF][PDF] 中国胃癌筛查与早诊早治指南(2022, 北京).

赫捷, 陈万青, 李兆申, 李霓, 任建松, 田金徽… - Chinese Journal of …, 2022 - dzrmyy.com
胃癌是中国常见的恶性肿瘤之一, 严重威胁居民生命健康. 胃癌高风险人群接受筛查和早诊,
早治能够有效降低胃癌的发病率和死亡率. 制定符合中国国情的胃癌筛查与早诊早治指南 …

British Society of Gastroenterology guidelines on the diagnosis and management of patients at risk of gastric adenocarcinoma

M Banks, D Graham, M Jansen, T Gotoda, S Coda… - Gut, 2019 - gut.bmj.com
Gastric adenocarcinoma carries a poor prognosis, in part due to the late stage of diagnosis.
Risk factors include Helicobacter pylori infection, family history of gastric cancer—in …

Application of artificial intelligence using a convolutional neural network for diagnosis of early gastric cancer based on magnifying endoscopy with narrow‐band …

H Ueyama, Y Kato, Y Akazawa… - Journal of …, 2021 - Wiley Online Library
Abstract Background and Aim Magnifying endoscopy with narrow‐band imaging (ME‐NBI)
has made a huge contribution to clinical practice. However, acquiring skill at ME‐NBI …

Convolutional neural network for differentiating gastric cancer from gastritis using magnified endoscopy with narrow band imaging

Y Horiuchi, K Aoyama, Y Tokai, T Hirasawa… - Digestive diseases and …, 2020 - Springer
Background Early detection of early gastric cancer (EGC) allows for less invasive cancer
treatment. However, differentiating EGC from gastritis remains challenging. Although …

[HTML][HTML] Curriculum for optical diagnosis training in Europe: European Society of Gastrointestinal Endoscopy (ESGE) position statement

E Dekker, BBSL Houwen, I Puig… - …, 2020 - thieme-connect.com
This manuscript represents an official Position Statement of the European Society of
Gastrointestinal Endoscopy (ESGE) aiming to guide general gastroenterologists to develop …

Effect of a deep learning-based system on the miss rate of gastric neoplasms during upper gastrointestinal endoscopy: a single-centre, tandem, randomised controlled …

L Wu, R Shang, P Sharma, W Zhou, J Liu… - The Lancet …, 2021 - thelancet.com
Background White light endoscopy is a pivotal first-line tool for the detection of gastric
neoplasms. However, gastric neoplasms can be missed during upper gastrointestinal …

Artificial intelligence and upper gastrointestinal endoscopy: Current status and future perspective

Y Mori, S Kudo, HEN Mohmed, M Misawa… - Digestive …, 2019 - Wiley Online Library
With recent breakthroughs in artificial intelligence, computer‐aided diagnosis (CAD) for
upper gastrointestinal endoscopy is gaining increasing attention. Main research focuses in …

A deep learning-based system for identifying differentiation status and delineating the margins of early gastric cancer in magnifying narrow-band imaging endoscopy

T Ling, L Wu, Y Fu, Q Xu, P An, J Zhang, S Hu… - …, 2021 - thieme-connect.com
Background Accurate identification of the differentiation status and margins for early gastric
cancer (EGC) is critical for determining the surgical strategy and achieving curative resection …