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Journal Abstract Search

372 related items for PubMed ID: 35835342

  • 1. Artificial Intelligence Allows Leaving-In-Situ Colorectal Polyps.
    Hassan C, Balsamo G, Lorenzetti R, Zullo A, Antonelli G.
    Clin Gastroenterol Hepatol; 2022 Nov; 20(11):2505-2513.e4. PubMed ID: 35835342
    [Abstract] [Full Text] [Related]

  • 2. Artificial Intelligence-Assisted Optical Diagnosis: A Comprehensive Review of Its Role in Leave-In-Situ and Resect-and-Discard Strategies in Colonoscopy.
    El Zoghbi M, Shaukat A, Hassan C, Anderson JC, Repici A, Gross SA.
    Clin Transl Gastroenterol; 2023 Oct 01; 14(10):e00640. PubMed ID: 37747097
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  • 3. Autonomous Artificial Intelligence vs Artificial Intelligence-Assisted Human Optical Diagnosis of Colorectal Polyps: A Randomized Controlled Trial.
    Djinbachian R, Haumesser C, Taghiakbari M, Pohl H, Barkun A, Sidani S, Liu Chen Kiow J, Panzini B, Bouchard S, Deslandres E, Alj A, von Renteln D.
    Gastroenterology; 2024 Jul 01; 167(2):392-399.e2. PubMed ID: 38331204
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  • 5. Artificial intelligence-assisted optical diagnosis for the resect-and-discard strategy in clinical practice: the Artificial intelligence BLI Characterization (ABC) study.
    Rondonotti E, Hassan C, Tamanini G, Antonelli G, Andrisani G, Leonetti G, Paggi S, Amato A, Scardino G, Di Paolo D, Mandelli G, Lenoci N, Terreni N, Andrealli A, Maselli R, Spadaccini M, Galtieri PA, Correale L, Repici A, Di Matteo FM, Ambrosiani L, Filippi E, Sharma P, Radaelli F.
    Endoscopy; 2023 Jan 01; 55(1):14-22. PubMed ID: 35562098
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  • 6. 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 01; 18(10):2357-2365.e4. PubMed ID: 31923641
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  • 7. Accuracy of narrow-band imaging in predicting colonoscopy surveillance intervals and histology of distal diminutive polyps: results from a multicenter, prospective trial.
    Repici A, Hassan C, Radaelli F, Occhipinti P, De Angelis C, Romeo F, Paggi S, Saettone S, Cisarò F, Spaander M, Sharma P, Kuipers EJ.
    Gastrointest Endosc; 2013 Jul 01; 78(1):106-14. PubMed ID: 23582472
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  • 8. Real-World Validation of a Computer-Aided Diagnosis System for Prediction of Polyp Histology in Colonoscopy: A Prospective Multicenter Study.
    Li JW, Wu CCH, Lee JWJ, Liang R, Soon GST, Wang LM, Koh XH, Koh CJ, Chew WD, Lin KW, Thian MY, Matthew R, Kim G, Khor CJL, Fock KM, Ang TL, So JBY, Artificial Intelligence in Gastrointestinal Endoscopy Singapore (AIGES) Study Group.
    Am J Gastroenterol; 2023 Aug 01; 118(8):1353-1364. PubMed ID: 37040553
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  • 9. Quality assurance of computer-aided detection and diagnosis in colonoscopy.
    Vinsard DG, Mori Y, Misawa M, Kudo SE, Rastogi A, Bagci U, Rex DK, Wallace MB.
    Gastrointest Endosc; 2019 Jul 01; 90(1):55-63. PubMed ID: 30926431
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  • 10. Artificial Intelligence for Real-Time Prediction of the Histology of Colorectal Polyps by General Endoscopists.
    Rex DK, Bhavsar-Burke I, Buckles D, Burton J, Cartee A, Comar K, Edwards A, Fennimore B, Fischer M, Gerich M, Gilmore A, Hamdeh S, Hoffman J, Ibach M, Jackson M, James-Stevenson T, Kaltenbach T, Kaplan J, Kapur S, Kohm D, Kriss M, Kundumadam S, Kyanam Kabir Baig KR, Menard-Katcher P, Kraft C, Langworthy J, Misra B, Molloy E, Munoz JC, Norvell J, Nowak T, Obaitan I, Patel S, Patel M, Peter S, Reid BM, Rogers N, Ross J, Ryan J, Sagi S, Saito A, Samo S, Sarkis F, Scott FI, Siwiec R, Sullivan S, Wieland A, Zhang J, Repici A, Hassan C, Byrne MF, Rastogi A.
    Ann Intern Med; 2024 Jul 01; 177(7):911-918. PubMed ID: 38768450
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  • 11. Impact of computer-aided characterization for diagnosis of colorectal lesions, including sessile serrated lesions: Multireader, multicase study.
    Kato S, Kudo SE, Minegishi Y, Miyata Y, Maeda Y, Kuroki T, Takashina Y, Mochizuki K, Tamura E, Abe M, Sato Y, Sakurai T, Kouyama Y, Tanaka K, Ogawa Y, Nakamura H, Ichimasa K, Ogata N, Hisayuki T, Hayashi T, Wakamura K, Miyachi H, Baba T, Ishida F, Nemoto T, Misawa M, Collaborators.
    Dig Endosc; 2024 Mar 01; 36(3):341-350. PubMed ID: 37937532
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  • 15. Real-Time Use of Artificial Intelligence in Identification of Diminutive Polyps During Colonoscopy: A Prospective Study.
    Mori Y, Kudo SE, Misawa M, Saito Y, Ikematsu H, Hotta K, Ohtsuka K, Urushibara F, Kataoka S, Ogawa Y, Maeda Y, Takeda K, Nakamura H, Ichimasa K, Kudo T, Hayashi T, Wakamura K, Ishida F, Inoue H, Itoh H, Oda M, Mori K.
    Ann Intern Med; 2018 Sep 18; 169(6):357-366. PubMed ID: 30105375
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  • 17. Real-Time Characterization of Diminutive Colorectal Polyp Histology Using Narrow-Band Imaging: Implications for the Resect and Discard Strategy.
    Patel SG, Schoenfeld P, Kim HM, Ward EK, Bansal A, Kim Y, Hosford L, Myers A, Foster S, Craft J, Shopinski S, Wilson RH, Ahnen DJ, Rastogi A, Wani S.
    Gastroenterology; 2016 Feb 18; 150(2):406-18. PubMed ID: 26522260
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  • 18. Computer-aided diagnosis system for optical diagnosis of colorectal polyps under white light imaging.
    Cheng Y, Li L, Bi Y, Su S, Zhang B, Feng X, Wang N, Zhang W, Yao Y, Ru N, Xiang J, Sun L, Hu K, Wen F, Wang Z, Bai L, Wang X, Wang R, Lv X, Wang P, Meng F, Xiao W, Linghu E, Chai N.
    Dig Liver Dis; 2024 Oct 18; 56(10):1738-1745. PubMed ID: 38744557
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  • 19. Blue-light imaging compared with high-definition white light for real-time histology prediction of colorectal polyps less than 1 centimeter: a prospective randomized study.
    Rondonotti E, Paggi S, Amato A, Mogavero G, Andrealli A, Conforti FS, Conte D, Spinzi G, Radaelli F.
    Gastrointest Endosc; 2019 Mar 18; 89(3):554-564.e1. PubMed ID: 30273590
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  • 20. Guidance for setting easy-to-adopt competence criteria for optical diagnosis of diminutive colorectal polyps: a simulation approach.
    Houwen BBSL, Greuter MJE, Vleugels JLA, Hazewinkel Y, Bisschops R, Dekker E, Coupé VMH.
    Gastrointest Endosc; 2021 Oct 18; 94(4):812-822.e43. PubMed ID: 33887268
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