164 related articles for article (PubMed ID: 37515597)
1. Exploring the challenge of early gastric cancer diagnostic AI system face in multiple centers and its potential solutions.
Dong Z; Tao X; Du H; Wang J; Huang L; He C; Zhao Z; Mao X; Ai Y; Zhang B; Liu M; Xu H; Jiang Z; Sun Y; Li X; Liu Z; Chen J; Song Y; Liu G; Luo C; Li Y; Zeng X; Liu J; Zhu Y; Wu L; Yu H
J Gastroenterol; 2023 Oct; 58(10):978-989. PubMed ID: 37515597
[TBL] [Abstract][Full Text] [Related]
2. Explainable artificial intelligence incorporated with domain knowledge diagnosing early gastric neoplasms under white light endoscopy.
Dong Z; Wang J; Li Y; Deng Y; Zhou W; Zeng X; Gong D; Liu J; Pan J; Shang R; Xu Y; Xu M; Zhang L; Zhang M; Tao X; Zhu Y; Du H; Lu Z; Yao L; Wu L; Yu H
NPJ Digit Med; 2023 Apr; 6(1):64. PubMed ID: 37045949
[TBL] [Abstract][Full Text] [Related]
3. Real-time use of artificial intelligence for diagnosing early gastric cancer by magnifying image-enhanced endoscopy: a multicenter diagnostic study (with videos).
He X; Wu L; Dong Z; Gong D; Jiang X; Zhang H; Ai Y; Tong Q; Lv P; Lu B; Wu Q; Yuan J; Xu M; Yu H
Gastrointest Endosc; 2022 Apr; 95(4):671-678.e4. PubMed ID: 34896101
[TBL] [Abstract][Full Text] [Related]
4. Development and validation of a feature extraction-based logical anthropomorphic diagnostic system for early gastric cancer: A case-control study.
Li J; Zhu Y; Dong Z; He X; Xu M; Liu J; Zhang M; Tao X; Du H; Chen D; Huang L; Shang R; Zhang L; Luo R; Zhou W; Deng Y; Huang X; Li Y; Chen B; Gong R; Zhang C; Li X; Wu L; Yu H
EClinicalMedicine; 2022 Apr; 46():101366. PubMed ID: 35521066
[TBL] [Abstract][Full Text] [Related]
5. Real-time artificial intelligence for detecting focal lesions and diagnosing neoplasms of the stomach by white-light endoscopy (with videos).
Wu L; Xu M; Jiang X; He X; Zhang H; Ai Y; Tong Q; Lv P; Lu B; Guo M; Huang M; Ye L; Shen L; Yu H
Gastrointest Endosc; 2022 Feb; 95(2):269-280.e6. PubMed ID: 34547254
[TBL] [Abstract][Full Text] [Related]
6. A deep-learning based system using multi-modal data for diagnosing gastric neoplasms in real-time (with video).
Du H; Dong Z; Wu L; Li Y; Liu J; Luo C; Zeng X; Deng Y; Cheng D; Diao W; Zhu Y; Tao X; Wang J; Zhang C; Yu H
Gastric Cancer; 2023 Mar; 26(2):275-285. PubMed ID: 36520317
[TBL] [Abstract][Full Text] [Related]
7. Evaluation of the effects of an artificial intelligence system on endoscopy quality and preliminary testing of its performance in detecting early gastric cancer: a randomized controlled trial.
Wu L; He X; Liu M; Xie H; An P; Zhang J; Zhang H; Ai Y; Tong Q; Guo M; Huang M; Ge C; Yang Z; Yuan J; Liu J; Zhou W; Jiang X; Huang X; Mu G; Wan X; Li Y; Wang H; Wang Y; Zhang H; Chen D; Gong D; Wang J; Huang L; Li J; Yao L; Zhu Y; Yu H
Endoscopy; 2021 Dec; 53(12):1199-1207. PubMed ID: 33429441
[TBL] [Abstract][Full Text] [Related]
8. A deep learning-based model improves diagnosis of early gastric cancer under narrow band imaging endoscopy.
Tang D; Ni M; Zheng C; Ding X; Zhang N; Yang T; Zhan Q; Fu Y; Liu W; Zhuang D; Lv Y; Xu G; Wang L; Zou X
Surg Endosc; 2022 Oct; 36(10):7800-7810. PubMed ID: 35641698
[TBL] [Abstract][Full Text] [Related]
9. A deep learning method for delineating early gastric cancer resection margin under chromoendoscopy and white light endoscopy.
An P; Yang D; Wang J; Wu L; Zhou J; Zeng Z; Huang X; Xiao Y; Hu S; Chen Y; Yao F; Guo M; Wu Q; Yang Y; Yu H
Gastric Cancer; 2020 Sep; 23(5):884-892. PubMed ID: 32356118
[TBL] [Abstract][Full Text] [Related]
10. Cooperation between artificial intelligence and endoscopists for diagnosing invasion depth of early gastric cancer.
Goto A; Kubota N; Nishikawa J; Ogawa R; Hamabe K; Hashimoto S; Ogihara H; Hamamoto Y; Yanai H; Miura O; Takami T
Gastric Cancer; 2023 Jan; 26(1):116-122. PubMed ID: 36040575
[TBL] [Abstract][Full Text] [Related]
11. Automated and real-time validation of gastroesophageal varices under esophagogastroduodenoscopy using a deep convolutional neural network: a multicenter retrospective study (with video).
Chen M; Wang J; Xiao Y; Wu L; Hu S; Chen S; Yi G; Hu W; Xie X; Zhu Y; Chen Y; Yang Y; Yu H
Gastrointest Endosc; 2021 Feb; 93(2):422-432.e3. PubMed ID: 32598959
[TBL] [Abstract][Full Text] [Related]
12. Application of artificial intelligence using a convolutional neural network for diagnosis of early gastric cancer based on magnifying endoscopy with narrow-band imaging.
Ueyama H; Kato Y; Akazawa Y; Yatagai N; Komori H; Takeda T; Matsumoto K; Ueda K; Matsumoto K; Hojo M; Yao T; Nagahara A; Tada T
J Gastroenterol Hepatol; 2021 Feb; 36(2):482-489. PubMed ID: 32681536
[TBL] [Abstract][Full Text] [Related]
13. Deep learning system compared with expert endoscopists in predicting early gastric cancer and its invasion depth and differentiation status (with videos).
Wu L; Wang J; He X; Zhu Y; Jiang X; Chen Y; Wang Y; Huang L; Shang R; Dong Z; Chen B; Tao X; Wu Q; Yu H
Gastrointest Endosc; 2022 Jan; 95(1):92-104.e3. PubMed ID: 34245752
[TBL] [Abstract][Full Text] [Related]
14. A novel artificial intelligence system for the assessment of bowel preparation (with video).
Zhou J; Wu L; Wan X; Shen L; Liu J; Zhang J; Jiang X; Wang Z; Yu S; Kang J; Li M; Hu S; Hu X; Gong D; Chen D; Yao L; Zhu Y; Yu H
Gastrointest Endosc; 2020 Feb; 91(2):428-435.e2. PubMed ID: 31783029
[TBL] [Abstract][Full Text] [Related]
15. Detection of colorectal adenomas with a real-time computer-aided system (ENDOANGEL): a randomised controlled study.
Gong D; Wu L; Zhang J; Mu G; Shen L; Liu J; Wang Z; Zhou W; An P; Huang X; Jiang X; Li Y; Wan X; Hu S; Chen Y; Hu X; Xu Y; Zhu X; Li S; Yao L; He X; Chen D; Huang L; Wei X; Wang X; Yu H
Lancet Gastroenterol Hepatol; 2020 Apr; 5(4):352-361. PubMed ID: 31981518
[TBL] [Abstract][Full Text] [Related]
16. Artificial intelligence for diagnosing gastric lesions under white-light endoscopy.
Yuan XL; Zhou Y; Liu W; Luo Q; Zeng XH; Yi Z; Hu B
Surg Endosc; 2022 Dec; 36(12):9444-9453. PubMed ID: 35879572
[TBL] [Abstract][Full Text] [Related]
17. Performance of an artificial intelligence-based diagnostic support tool for early gastric cancers: Retrospective study.
Ishioka M; Osawa H; Hirasawa T; Kawachi H; Nakano K; Fukushima N; Sakaguchi M; Tada T; Kato Y; Shibata J; Ozawa T; Tajiri H; Fujisaki J
Dig Endosc; 2023 May; 35(4):483-491. PubMed ID: 36239483
[TBL] [Abstract][Full Text] [Related]
18. Artificial intelligence for detecting superficial esophageal squamous cell carcinoma under multiple endoscopic imaging modalities: A multicenter study.
Yuan XL; Guo LJ; Liu W; Zeng XH; Mou Y; Bai S; Pan ZG; Zhang T; Pu WF; Wen C; Wang J; Zhou ZD; Feng J; Hu B
J Gastroenterol Hepatol; 2022 Jan; 37(1):169-178. PubMed ID: 34532890
[TBL] [Abstract][Full Text] [Related]
19. The effect of incorporating domain knowledge with deep learning in identifying benign and malignant gastric whitish lesions: A retrospective study.
Zeng X; Yang L; Dong Z; Gong D; Li Y; Deng Y; Du H; Li X; Xu Y; Luo C; Wang J; Tao X; Zhang C; Zhu Y; Jiang R; Yao L; Wu L; Jin P; Yu H
J Gastroenterol Hepatol; 2024 Feb; ():. PubMed ID: 38414305
[TBL] [Abstract][Full Text] [Related]
20. An interpretable artificial intelligence system for detecting risk factors of gastroesophageal variceal bleeding.
Wang J; Wang Z; Chen M; Xiao Y; Chen S; Wu L; Yao L; Jiang X; Li J; Xu M; Lin M; Zhu Y; Luo R; Zhang C; Li X; Yu H
NPJ Digit Med; 2022 Dec; 5(1):183. PubMed ID: 36536039
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
