233 related articles for article (PubMed ID: 33722576)
1. Artificial intelligence in the diagnosis of gastric precancerous conditions by image-enhanced endoscopy: a multicenter, diagnostic study (with video).
Xu M; Zhou W; Wu L; Zhang J; Wang J; Mu G; Huang X; Li Y; Yuan J; Zeng Z; Wang Y; Huang L; Liu J; Yu H
Gastrointest Endosc; 2021 Sep; 94(3):540-548.e4. PubMed ID: 33722576
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. Clinical Decision Support System for All Stages of Gastric Carcinogenesis in Real-Time Endoscopy: Model Establishment and Validation Study.
Gong EJ; Bang CS; Lee JJ; Jeong HM; Baik GH; Jeong JH; Dick S; Lee GH
J Med Internet Res; 2023 Oct; 25():e50448. PubMed ID: 37902818
[TBL] [Abstract][Full Text] [Related]
5. Real-time artificial intelligence for detection of upper gastrointestinal cancer by endoscopy: a multicentre, case-control, diagnostic study.
Luo H; Xu G; Li C; He L; Luo L; Wang Z; Jing B; Deng Y; Jin Y; Li Y; Li B; Tan W; He C; Seeruttun SR; Wu Q; Huang J; Huang DW; Chen B; Lin SB; Chen QM; Yuan CM; Chen HX; Pu HY; Zhou F; He Y; Xu RH
Lancet Oncol; 2019 Dec; 20(12):1645-1654. PubMed ID: 31591062
[TBL] [Abstract][Full Text] [Related]
6. An explainable artificial intelligence system for diagnosing
Zhang M; Pan J; Lin J; Xu M; Zhang L; Shang R; Yao L; Li Y; Zhou W; Deng Y; Dong Z; Zhu Y; Tao X; Wu L; Yu H
Therap Adv Gastroenterol; 2023; 16():17562848231155023. PubMed ID: 36895279
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Computer-aided diagnosis in real-time endoscopy for all stages of gastric carcinogenesis: Development and validation study.
Gong EJ; Bang CS; Lee JJ
United European Gastroenterol J; 2024 May; 12(4):487-495. PubMed ID: 38400815
[TBL] [Abstract][Full Text] [Related]
9. Narrow band imaging and serology in the assessment of premalignant gastric pathology.
White JR; Sami SS; Reddiar D; Mannath J; Ortiz-Fernández-Sordo J; Beg S; Scott R; Thiagarajan P; Ahmad S; Parra-Blanco A; Kasi M; Telakis E; Sultan AA; Davis J; Figgins A; Kaye P; Robinson K; Atherton JC; Ragunath K
Scand J Gastroenterol; 2018 Dec; 53(12):1611-1618. PubMed ID: 30600732
[TBL] [Abstract][Full Text] [Related]
10. Accuracy of artificial intelligence-assisted endoscopy in the diagnosis of gastric intestinal metaplasia: A systematic review and meta-analysis.
Li N; Yang J; Li X; Shi Y; Wang K
PLoS One; 2024; 19(5):e0303421. PubMed ID: 38743709
[TBL] [Abstract][Full Text] [Related]
11. Intelligent diagnosis of gastric intestinal metaplasia based on convolutional neural network and limited number of endoscopic images.
Yan T; Wong PK; Choi IC; Vong CM; Yu HH
Comput Biol Med; 2020 Nov; 126():104026. PubMed ID: 33059237
[TBL] [Abstract][Full Text] [Related]
12. Diagnostic performance of confocal laser endomicroscopy for optical diagnosis of gastric intestinal metaplasia: a meta-analysis.
He XK; Liu D; Sun LM
BMC Gastroenterol; 2016 Sep; 16(1):109. PubMed ID: 27596838
[TBL] [Abstract][Full Text] [Related]
13. Systematic alphanumeric-coded endoscopy versus chromoendoscopy for the detection of precancerous gastric lesions and early gastric cancer in subjects at average risk for gastric cancer.
Pérez-Mendoza A; Zárate-Guzmán ÁM; Galvis García ES; Sobrino Cossío S; Djamus Birch J
Rev Gastroenterol Mex (Engl Ed); 2018; 83(2):117-124. PubMed ID: 29526386
[TBL] [Abstract][Full Text] [Related]
14. Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images.
Hirasawa T; Aoyama K; Tanimoto T; Ishihara S; Shichijo S; Ozawa T; Ohnishi T; Fujishiro M; Matsuo K; Fujisaki J; Tada T
Gastric Cancer; 2018 Jul; 21(4):653-660. PubMed ID: 29335825
[TBL] [Abstract][Full Text] [Related]
15. A multicenter prospective study of the real-time use of narrow-band imaging in the diagnosis of premalignant gastric conditions and lesions.
Pimentel-Nunes P; Libânio D; Lage J; Abrantes D; Coimbra M; Esposito G; Hormozdi D; Pepper M; Drasovean S; White JR; Dobru D; Buxbaum J; Ragunath K; Annibale B; Dinis-Ribeiro M
Endoscopy; 2016 Aug; 48(8):723-30. PubMed ID: 27280384
[TBL] [Abstract][Full Text] [Related]
16. Standard
Cho JH; Jeon SR; Jin SY; Park S
World J Gastroenterol; 2021 May; 27(18):2238-2250. PubMed ID: 34025076
[TBL] [Abstract][Full Text] [Related]
17. Development and validation of a real-time artificial intelligence-assisted system for detecting early gastric cancer: A multicentre retrospective diagnostic study.
Tang D; Wang L; Ling T; Lv Y; Ni M; Zhan Q; Fu Y; Zhuang D; Guo H; Dou X; Zhang W; Xu G; Zou X
EBioMedicine; 2020 Dec; 62():103146. PubMed ID: 33254026
[TBL] [Abstract][Full Text] [Related]
18. Lower Adenoma Miss Rate of Computer-Aided Detection-Assisted Colonoscopy vs Routine White-Light Colonoscopy in a Prospective Tandem Study.
Wang P; Liu P; Glissen Brown JR; Berzin TM; Zhou G; Lei S; Liu X; Li L; Xiao X
Gastroenterology; 2020 Oct; 159(4):1252-1261.e5. PubMed ID: 32562721
[TBL] [Abstract][Full Text] [Related]
19. Image-enhanced endoscopy for gastric preneoplastic conditions and neoplastic lesions: a systematic review and meta-analysis.
Rodríguez-Carrasco M; Esposito G; Libânio D; Pimentel-Nunes P; Dinis-Ribeiro M
Endoscopy; 2020 Dec; 52(12):1048-1065. PubMed ID: 32663879
[TBL] [Abstract][Full Text] [Related]
20. Artificial intelligence for detecting and delineating the extent of superficial esophageal squamous cell carcinoma and precancerous lesions under narrow-band imaging (with video).
Yuan XL; Zeng XH; Liu W; Mou Y; Zhang WH; Zhou ZD; Chen X; Hu YX; Hu B
Gastrointest Endosc; 2023 Apr; 97(4):664-672.e4. PubMed ID: 36509114
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
