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 …

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 …

[HTML][HTML] Explainable artificial intelligence incorporated with domain knowledge diagnosing early gastric neoplasms under white light endoscopy

Z Dong, J Wang, Y Li, Y Deng, W Zhou, X Zeng… - NPJ Digital …, 2023 - nature.com
White light endoscopy is the most pivotal tool for detecting early gastric neoplasms. Previous
artificial intelligence (AI) systems were primarily unexplainable, affecting their clinical …

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 …

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 …

[HTML][HTML] A deep neural network improves endoscopic detection of early gastric cancer without blind spots

L Wu, W Zhou, X Wan, J Zhang, L Shen, S Hu… - …, 2019 - thieme-connect.com
Background Gastric cancer is the third most lethal malignancy worldwide. A novel deep
convolution neural network (DCNN) to perform visual tasks has been recently developed …

Deep-learning based detection of gastric precancerous conditions

P Guimarães, A Keller, T Fehlmann, F Lammert… - Gut, 2020 - gut.bmj.com
Conventional white-light endoscopy has high interobserver variability for the diagnosis of
gastric precancerous conditions. Here we present a deeplearning (DL) approach for the …

[HTML][HTML] Evaluation of the effects of an artificial intelligence system on endoscopy quality and preliminary testing of its performance in detecting early gastric cancer: a …

L Wu, X He, M Liu, H Xie, P An, J Zhang, H Zhang… - …, 2021 - thieme-connect.com
Background Esophagogastroduodenoscopy (EGD) is a prerequisite for detecting upper
gastrointestinal lesions especially early gastric cancer (EGC). An artificial intelligence …

[HTML][HTML] Real-time evaluation of helicobacter pylori infection by convolution neural network during white-light endoscopy: a prospective, multicenter study (with video)

Y Shen, A Chen, X Zhang, X Zhong, A Ma… - Clinical and …, 2023 - journals.lww.com
METHODS: Archived video recordings of upper endoscopy with white-light examinations
performed at Sir Run Run Shaw Hospital (January 2019–September 2020) were used to …

Spotting malignancies from gastric endoscopic images using deep learning

JH Lee, YJ Kim, YW Kim, S Park, Y Choi, YJ Kim… - Surgical …, 2019 - Springer
Background Gastric cancer is a common kind of malignancies, with yearly occurrences
exceeding one million worldwide in 2017. Typically, ulcerous and cancerous tissues …