BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

163 related articles for article (PubMed ID: 36118638)

  • 1. In vivo computer-aided diagnosis of colorectal polyps using white light endoscopy.
    García-Rodríguez A; Tudela Y; Córdova H; Carballal S; Ordás I; Moreira L; Vaquero E; Ortiz O; Rivero L; Sánchez FJ; Cuatrecasas M; Pellisé M; Bernal J; Fernández-Esparrach G
    Endosc Int Open; 2022 Sep; 10(9):E1201-E1207. PubMed ID: 36118638
    [No Abstract]   [Full Text] [Related]  

  • 2. Comparative effectiveness of i-SCAN™ and high-definition white light characterizing small colonic polyps.
    Chan JL; Lin L; Feiler M; Wolf AI; Cardona DM; Gellad ZF
    World J Gastroenterol; 2012 Nov; 18(41):5905-11. PubMed ID: 23139606
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Optical diagnosis in still images of colorectal polyps: comparison between expert endoscopists and PolyDeep, a Computer-Aided Diagnosis system.
    Davila-Piñón P; Nogueira-Rodríguez A; Díez-Martín AI; Codesido L; Herrero J; Puga M; Rivas L; Sánchez E; Fdez-Riverola F; Glez-Peña D; Reboiro-Jato M; López-Fernández H; Cubiella J
    Front Oncol; 2024; 14():1393815. PubMed ID: 38846970
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Improved Accuracy in Optical Diagnosis of Colorectal Polyps Using Convolutional Neural Networks with Visual Explanations.
    Jin EH; Lee D; Bae JH; Kang HY; Kwak MS; Seo JY; Yang JI; Yang SY; Lim SH; Yim JY; Lim JH; Chung GE; Chung SJ; Choi JM; Han YM; Kang SJ; Lee J; Chan Kim H; Kim JS
    Gastroenterology; 2020 Jun; 158(8):2169-2179.e8. PubMed ID: 32119927
    [TBL] [Abstract][Full Text] [Related]  

  • 6. High-definition colonoscopy with i-Scan: better diagnosis for small polyps and flat adenomas.
    Testoni PA; Notaristefano C; Vailati C; Di Leo M; Viale E
    World J Gastroenterol; 2012 Oct; 18(37):5231-9. PubMed ID: 23066318
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Optical diagnosis of colorectal polyps using high-definition i-scan: an educational experience.
    Bouwens MW; de Ridder R; Masclee AA; Driessen A; Riedl RG; Winkens B; Sanduleanu S
    World J Gastroenterol; 2013 Jul; 19(27):4334-43. PubMed ID: 23885144
    [TBL] [Abstract][Full Text] [Related]  

  • 8. In vivo diagnostic accuracy of high-resolution microendoscopy in differentiating neoplastic from non-neoplastic colorectal polyps: a prospective study.
    Parikh ND; Perl D; Lee MH; Shah B; Young Y; Chang SS; Shukla R; Polydorides AD; Moshier E; Godbold J; Zhou E; Mitcham J; Richards-Kortum R; Anandasabapathy S
    Am J Gastroenterol; 2014 Jan; 109(1):68-75. PubMed ID: 24296752
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Real-time diagnostic accuracy of blue light imaging, linked color imaging and white-light endoscopy for colorectal polyp characterization.
    Houwen BBSL; Vleugels JLA; Pellisé M; Rivero-Sánchez L; Balaguer F; Bisschops R; Tejpar S; Repici A; Ramsoekh D; Jacobs MAJM; Schreuder RM; Kamiński MF; Rupińska M; Bhandari P; van Oijen MGH; Koens L; Bastiaansen BAJ; Tytgat KMAJ; Fockens P; Dekker E; Hazewinkel Y
    Endosc Int Open; 2022 Jan; 10(1):E9-E18. PubMed ID: 35047330
    [No Abstract]   [Full Text] [Related]  

  • 10. Artificial intelligence for characterization of colorectal polyps: Prospective multicenter study.
    De Lange G; Prouvost V; Rahmi G; Vanbiervliet G; Le Berre C; Mack S; Koessler T; Coron E
    Endosc Int Open; 2024 Mar; 12(3):E413-E418. PubMed ID: 38504743
    [No Abstract]   [Full Text] [Related]  

  • 11. A novel AI device for real-time optical characterization of colorectal polyps.
    Biffi C; Salvagnini P; Dinh NN; Hassan C; Sharma P; ; Cherubini A
    NPJ Digit Med; 2022 Jun; 5(1):84. PubMed ID: 35773468
    [TBL] [Abstract][Full Text] [Related]  

  • 12. White light computer-aided optical diagnosis of diminutive colorectal polyps in routine clinical practice.
    Rondonotti E; Bergna IMB; Paggi S; Amato A; Andrealli A; Scardino G; Tamanini G; Lenoci N; Mandelli G; Terreni N; Rocchetto S; Piagnani A; Di Paolo D; Bina N; Filippi E; Ambrosiani L; Hassan C; Correale L; Radaelli F
    Endosc Int Open; 2024 May; 12(5):E676-E683. PubMed ID: 38774861
    [No Abstract]   [Full Text] [Related]  

  • 13. Endoscopists can sustain high performance for the optical diagnosis of colorectal polyps following standardized and continued training.
    McGill SK; Soetikno R; Rastogi A; Rouse RV; Sato T; Bansal A; McQuaid K; Kaltenbach T
    Endoscopy; 2015 Mar; 47(3):200-6. PubMed ID: 25264764
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Performance of a novel computer-aided diagnosis system in the characterization of colorectal polyps, and its role in meeting Preservation and Incorporation of Valuable Endoscopic Innovations standards set by the American Society of Gastrointestinal Endoscopy.
    Hossain E; Abdelrahim M; Tanasescu A; Yamada M; Kondo H; Yamada S; Hamamoto R; Marugame A; Saito Y; Bhandari P
    DEN Open; 2023 Apr; 3(1):e178. PubMed ID: 36320934
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Effect of a deep-learning computer-aided detection system on adenoma detection during colonoscopy (CADe-DB trial): a double-blind randomised study.
    Wang P; Liu X; Berzin TM; Glissen Brown JR; Liu P; Zhou C; Lei L; Li L; Guo Z; Lei S; Xiong F; Wang H; Song Y; Pan Y; Zhou G
    Lancet Gastroenterol Hepatol; 2020 Apr; 5(4):343-351. PubMed ID: 31981517
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Clinical Validation of BASIC Classification for the Resect and Discard Strategy for Diminutive Colorectal Polyps.
    Rondonotti E; Hassan C; Andrealli A; Paggi S; Amato A; Scaramella L; Repici A; Radaelli F
    Clin Gastroenterol Hepatol; 2020 Sep; 18(10):2357-2365.e4. PubMed ID: 31923641
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Learning curve of virtual chromoendoscopy for the prediction of hyperplastic and adenomatous colorectal lesions: a prospective 2-center study.
    Neumann H; Vieth M; Fry LC; Günther C; Atreya R; Neurath MF; Mönkemüller K
    Gastrointest Endosc; 2013 Jul; 78(1):115-20. PubMed ID: 23528656
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Accuracy of polyp characterization by artificial intelligence and endoscopists: a prospective, non-randomized study in a tertiary endoscopy center.
    Baumer S; Streicher K; Alqahtani SA; Brookman-Amissah D; Brunner M; Federle C; Muehlenberg K; Pfeifer L; Salzberger A; Schorr W; Zustin J; Pech O
    Endosc Int Open; 2023 Sep; 11(9):E818-E828. PubMed ID: 37727511
    [No Abstract]   [Full Text] [Related]  

  • 19. Artificial Intelligence-assisted System Improves Endoscopic Identification of Colorectal Neoplasms.
    Kudo SE; Misawa M; Mori Y; Hotta K; Ohtsuka K; Ikematsu H; Saito Y; Takeda K; Nakamura H; Ichimasa K; Ishigaki T; Toyoshima N; Kudo T; Hayashi T; Wakamura K; Baba T; Ishida F; Inoue H; Itoh H; Oda M; Mori K
    Clin Gastroenterol Hepatol; 2020 Jul; 18(8):1874-1881.e2. PubMed ID: 31525512
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Virtual chromoendoscopy for the real-time assessment of colorectal polyps in vivo: a systematic review and economic evaluation.
    Picot J; Rose M; Cooper K; Pickett K; Lord J; Harris P; Whyte S; Böhning D; Shepherd J
    Health Technol Assess; 2017 Dec; 21(79):1-308. PubMed ID: 29271339
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.