BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

251 related articles for article (PubMed ID: 32505685)

  • 1. Comparison of performances of artificial intelligence versus expert endoscopists for real-time assisted diagnosis of esophageal squamous cell carcinoma (with video).
    Fukuda H; Ishihara R; Kato Y; Matsunaga T; Nishida T; Yamada T; Ogiyama H; Horie M; Kinoshita K; Tada T
    Gastrointest Endosc; 2020 Oct; 92(4):848-855. PubMed ID: 32505685
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Endoscopic detection and differentiation of esophageal lesions using a deep neural network.
    Ohmori M; Ishihara R; Aoyama K; Nakagawa K; Iwagami H; Matsuura N; Shichijo S; Yamamoto K; Nagaike K; Nakahara M; Inoue T; Aoi K; Okada H; Tada T
    Gastrointest Endosc; 2020 Feb; 91(2):301-309.e1. PubMed ID: 31585124
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Real-time assessment of video images for esophageal squamous cell carcinoma invasion depth using artificial intelligence.
    Shimamoto Y; Ishihara R; Kato Y; Shoji A; Inoue T; Matsueda K; Miyake M; Waki K; Kono M; Fukuda H; Matsuura N; Nagaike K; Aoi K; Yamamoto K; Inoue T; Nakahara M; Nishihara A; Tada T
    J Gastroenterol; 2020 Nov; 55(11):1037-1045. PubMed ID: 32778959
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Utility of an artificial intelligence system for classification of esophageal lesions when simulating its clinical use.
    Tajiri A; Ishihara R; Kato Y; Inoue T; Matsueda K; Miyake M; Waki K; Shimamoto Y; Fukuda H; Matsuura N; Egawa S; Yamaguchi S; Ogiyama H; Ogiso K; Nishida T; Aoi K; Tada T
    Sci Rep; 2022 Apr; 12(1):6677. PubMed ID: 35461350
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Comparative study on artificial intelligence systems for detecting early esophageal squamous cell carcinoma between narrow-band and white-light imaging.
    Li B; Cai SL; Tan WM; Li JC; Yalikong A; Feng XS; Yu HH; Lu PX; Feng Z; Yao LQ; Zhou PH; Yan B; Zhong YS
    World J Gastroenterol; 2021 Jan; 27(3):281-293. PubMed ID: 33519142
    [TBL] [Abstract][Full Text] [Related]  

  • 6. [Establishment and clinical validation of an artificial intelligence YOLOv51 model for the detection of precancerous lesions and superficial esophageal cancer in endoscopic procedure].
    Wang SX; Ke Y; Liu YM; Liu SY; Song SB; He S; Zhang YM; Dou LZ; Liu Y; Liu XD; Wu HR; Su FX; Zhang FY; Zhang W; Wang GQ
    Zhonghua Zhong Liu Za Zhi; 2022 May; 44(5):395-401. PubMed ID: 35615795
    [No Abstract]   [Full Text] [Related]  

  • 7. Real-time artificial intelligence for endoscopic diagnosis of early esophageal squamous cell cancer (with video).
    Yang XX; Li Z; Shao XJ; Ji R; Qu JY; Zheng MQ; Sun YN; Zhou RC; You H; Li LX; Feng J; Yang XY; Li YQ; Zuo XL
    Dig Endosc; 2021 Nov; 33(7):1075-1084. PubMed ID: 33275789
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Real-time automated diagnosis of precancerous lesions and early esophageal squamous cell carcinoma using a deep learning model (with videos).
    Guo L; Xiao X; Wu C; Zeng X; Zhang Y; Du J; Bai S; Xie J; Zhang Z; Li Y; Wang X; Cheung O; Sharma M; Liu J; Hu B
    Gastrointest Endosc; 2020 Jan; 91(1):41-51. PubMed ID: 31445040
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 11. Usefulness of an artificial intelligence system for the detection of esophageal squamous cell carcinoma evaluated with videos simulating overlooking situation.
    Waki K; Ishihara R; Kato Y; Shoji A; Inoue T; Matsueda K; Miyake M; Shimamoto Y; Fukuda H; Matsuura N; Ono Y; Yao K; Hashimoto S; Terai S; Ohmori M; Tanaka K; Kato M; Shono T; Miyamoto H; Tanaka Y; Tada T
    Dig Endosc; 2021 Nov; 33(7):1101-1109. PubMed ID: 33502046
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Artificial intelligence for diagnosing microvessels of precancerous lesions and superficial esophageal squamous cell carcinomas: a multicenter study.
    Yuan XL; Liu W; Liu Y; Zeng XH; Mou Y; Wu CC; Ye LS; Zhang YH; He L; Feng J; Zhang WH; Wang J; Chen X; Hu YX; Zhang KH; Hu B
    Surg Endosc; 2022 Nov; 36(11):8651-8662. PubMed ID: 35705757
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Application of an artificial intelligence system for endoscopic diagnosis of superficial esophageal squamous cell carcinoma.
    Meng QQ; Gao Y; Lin H; Wang TJ; Zhang YR; Feng J; Li ZS; Xin L; Wang LW
    World J Gastroenterol; 2022 Oct; 28(37):5483-5493. PubMed ID: 36312830
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Simplified criteria for diagnosing superficial esophageal squamous neoplasms using Narrow Band Imaging magnifying endoscopy.
    Dobashi A; Goda K; Yoshimura N; Ohya TR; Kato M; Sumiyama K; Matsushima M; Hirooka S; Ikegami M; Tajiri H
    World J Gastroenterol; 2016 Nov; 22(41):9196-9204. PubMed ID: 27895406
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Vascular density of superficial esophageal squamous cell carcinoma determined by direct observation of resected specimen using narrow band imaging with magnifying endoscopy.
    Kikuchi D; Iizuka T; Hoteya S; Nomura K; Kuribayashi Y; Toba T; Tanaka M; Yamashita S; Furuhata T; Matsui A; Mitani T; Inoshita N; Kaise M
    Dis Esophagus; 2017 Nov; 30(11):1-5. PubMed ID: 28881911
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Artificial intelligence diagnostic system predicts multiple Lugol-voiding lesions in the esophagus and patients at high risk for esophageal squamous cell carcinoma.
    Ikenoyama Y; Yoshio T; Tokura J; Naito S; Namikawa K; Tokai Y; Yoshimizu S; Horiuchi Y; Ishiyama A; Hirasawa T; Tsuchida T; Katayama N; Tada T; Fujisaki J
    Endoscopy; 2021 Nov; 53(11):1105-1113. PubMed ID: 33540446
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Effect of an artificial intelligence-assisted system on endoscopic diagnosis of superficial oesophageal squamous cell carcinoma and precancerous lesions: a multicentre, tandem, double-blind, randomised controlled trial.
    Yuan XL; Liu W; Lin YX; Deng QY; Gao YP; Wan L; Zhang B; Zhang T; Zhang WH; Bi XG; Yang GD; Zhu BH; Zhang F; Qin XB; Pan F; Zeng XH; Chaudhry H; Pang MY; Yang J; Zhang JY; Hu B
    Lancet Gastroenterol Hepatol; 2024 Jan; 9(1):34-44. PubMed ID: 37952555
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Ability of artificial intelligence to detect T1 esophageal squamous cell carcinoma from endoscopic videos and the effects of real-time assistance.
    Shiroma S; Yoshio T; Kato Y; Horie Y; Namikawa K; Tokai Y; Yoshimizu S; Yoshizawa N; Horiuchi Y; Ishiyama A; Hirasawa T; Tsuchida T; Akazawa N; Akiyama J; Tada T; Fujisaki J
    Sci Rep; 2021 Apr; 11(1):7759. PubMed ID: 33833355
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Narrow band imaging under less-air condition improves the visibility of superficial esophageal squamous cell carcinoma.
    Iwatsubo T; Ishihara R; Yamasaki Y; Tonai Y; Hamada K; Kato M; Suzuki S; Kono M; Fukuda H; Shimamoto Y; Nakagawa K; Ohmori M; Arao M; Matsuno K; Iwagami H; Inoue S; Nakahira H; Matsuura N; Shichijo S; Maekawa A; Kanesaka T; Takeuchi Y; Higashino K; Uedo N; Higuchi K
    BMC Gastroenterol; 2020 Nov; 20(1):389. PubMed ID: 33213383
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Efficacy of Digestive Endoscope Based on Artificial Intelligence System in Diagnosing Early Esophageal Carcinoma.
    Zhao Z; Li M; Liu P; Yu J; Zhao H
    Comput Math Methods Med; 2022; 2022():9018939. PubMed ID: 35761840
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.