BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

910 related articles for article (PubMed ID: 30630221)

  • 1. Overview of Deep Learning in Gastrointestinal Endoscopy.
    Min JK; Kwak MS; Cha JM
    Gut Liver; 2019 Jan; 13(4):388-393. PubMed ID: 30630221
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Utilizing artificial intelligence in endoscopy: a clinician's guide.
    Namikawa K; Hirasawa T; Yoshio T; Fujisaki J; Ozawa T; Ishihara S; Aoki T; Yamada A; Koike K; Suzuki H; Tada T
    Expert Rev Gastroenterol Hepatol; 2020 Aug; 14(8):689-706. PubMed ID: 32500760
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Artificial Intelligence in Endoscopy.
    Okagawa Y; Abe S; Yamada M; Oda I; Saito Y
    Dig Dis Sci; 2022 May; 67(5):1553-1572. PubMed ID: 34155567
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Application of Artificial Intelligence in Gastrointestinal Endoscopy.
    Wu J; Chen J; Cai J
    J Clin Gastroenterol; 2021 Feb; 55(2):110-120. PubMed ID: 32925304
    [TBL] [Abstract][Full Text] [Related]  

  • 5. How Artificial Intelligence Will Impact Colonoscopy and Colorectal Screening.
    Shung DL; Byrne MF
    Gastrointest Endosc Clin N Am; 2020 Jul; 30(3):585-595. PubMed ID: 32439090
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Evolving role of artificial intelligence in gastrointestinal endoscopy.
    Parasher G; Wong M; Rawat M
    World J Gastroenterol; 2020 Dec; 26(46):7287-7298. PubMed ID: 33362384
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Application of Convolutional Neural Networks in the Diagnosis of Helicobacter pylori Infection Based on Endoscopic Images.
    Shichijo S; Nomura S; Aoyama K; Nishikawa Y; Miura M; Shinagawa T; Takiyama H; Tanimoto T; Ishihara S; Matsuo K; Tada T
    EBioMedicine; 2017 Nov; 25():106-111. PubMed ID: 29056541
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Colorectal polyp characterization with standard endoscopy: Will Artificial Intelligence succeed where human eyes failed?
    Parsa N; Rex DK; Byrne MF
    Best Pract Res Clin Gastroenterol; 2021; 52-53():101736. PubMed ID: 34172255
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Artificial intelligence in gastrointestinal endoscopy.
    Pannala R; Krishnan K; Melson J; Parsi MA; Schulman AR; Sullivan S; Trikudanathan G; Trindade AJ; Watson RR; Maple JT; Lichtenstein DR
    VideoGIE; 2020 Dec; 5(12):598-613. PubMed ID: 33319126
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Expected value of artificial intelligence in gastrointestinal endoscopy: European Society of Gastrointestinal Endoscopy (ESGE) Position Statement.
    Messmann H; Bisschops R; Antonelli G; Libânio D; Sinonquel P; Abdelrahim M; Ahmad OF; Areia M; Bergman JJGHM; Bhandari P; Boskoski I; Dekker E; Domagk D; Ebigbo A; Eelbode T; Eliakim R; Häfner M; Haidry RJ; Jover R; Kaminski MF; Kuvaev R; Mori Y; Palazzo M; Repici A; Rondonotti E; Rutter MD; Saito Y; Sharma P; Spada C; Spadaccini M; Veitch A; Gralnek IM; Hassan C; Dinis-Ribeiro M
    Endoscopy; 2022 Dec; 54(12):1211-1231. PubMed ID: 36270318
    [TBL] [Abstract][Full Text] [Related]  

  • 11. An overview of deep learning algorithms and water exchange in colonoscopy in improving adenoma detection.
    Hsieh YH; Leung FW
    Expert Rev Gastroenterol Hepatol; 2019 Dec; 13(12):1153-1160. PubMed ID: 31755802
    [No Abstract]   [Full Text] [Related]  

  • 12. [Application of artificial intelligence for detection and classification of colon polyps].
    Wang X; Huang J; Ji X; Zhu Z
    Nan Fang Yi Ke Da Xue Xue Bao; 2021 Feb; 41(2):310-313. PubMed ID: 33624608
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Research trends on artificial intelligence and endoscopy in digestive diseases: A bibliometric analysis from 1990 to 2022.
    Du RC; Ouyang YB; Hu Y
    World J Gastroenterol; 2023 Jun; 29(22):3561-3573. PubMed ID: 37389238
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Artificial intelligence and deep learning for small bowel capsule endoscopy.
    Trasolini R; Byrne MF
    Dig Endosc; 2021 Jan; 33(2):290-297. PubMed ID: 33211357
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Artificial intelligence in gastrointestinal endoscopy: general overview.
    El Hajjar A; Rey JF
    Chin Med J (Engl); 2020 Feb; 133(3):326-334. PubMed ID: 31929362
    [TBL] [Abstract][Full Text] [Related]  

  • 17. [Endoscopic Diagnosis Using Artificial Intelligence].
    Hirasawa T; Ikenoyama Y; Horie Y; Ishioka M; Tamashiro A; Shiroma S; Namikawa K; Nakano K; Tokai Y; Yoshimizu S; Horiuchi Y; Ishiyama A; Yoshio T; Tsuchida T; Fujisaki J
    Gan To Kagaku Ryoho; 2019 Mar; 46(3):412-417. PubMed ID: 30914574
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Artificial intelligence for cancer detection of the upper gastrointestinal tract.
    Suzuki H; Yoshitaka T; Yoshio T; Tada T
    Dig Endosc; 2021 Jan; 33(2):254-262. PubMed ID: 33222330
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Artificial intelligence using a convolutional neural network for automatic detection of small-bowel angioectasia in capsule endoscopy images.
    Tsuboi A; Oka S; Aoyama K; Saito H; Aoki T; Yamada A; Matsuda T; Fujishiro M; Ishihara S; Nakahori M; Koike K; Tanaka S; Tada T
    Dig Endosc; 2020 Mar; 32(3):382-390. PubMed ID: 31392767
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Clinical usefulness of a deep learning-based system as the first screening on small-bowel capsule endoscopy reading.
    Aoki T; Yamada A; Aoyama K; Saito H; Fujisawa G; Odawara N; Kondo R; Tsuboi A; Ishibashi R; Nakada A; Niikura R; Fujishiro M; Oka S; Ishihara S; Matsuda T; Nakahori M; Tanaka S; Koike K; Tada T
    Dig Endosc; 2020 May; 32(4):585-591. PubMed ID: 31441972
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 46.