These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

326 related articles for article (PubMed ID: 34720530)

  • 1. Artificial intelligence for the early detection of colorectal cancer: A comprehensive review of its advantages and misconceptions.
    Viscaino M; Torres Bustos J; Muñoz P; Auat Cheein C; Cheein FA
    World J Gastroenterol; 2021 Oct; 27(38):6399-6414. PubMed ID: 34720530
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Diagnostic Accuracy of Artificial Intelligence and Computer-Aided Diagnosis for the Detection and Characterization of Colorectal Polyps: Systematic Review and Meta-analysis.
    Nazarian S; Glover B; Ashrafian H; Darzi A; Teare J
    J Med Internet Res; 2021 Jul; 23(7):e27370. PubMed ID: 34259645
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Computer-aided automated diminutive colonic polyp detection in colonoscopy by using deep machine learning system; first indigenous algorithm developed in India.
    Mazumdar S; Sinha S; Jha S; Jagtap B
    Indian J Gastroenterol; 2023 Apr; 42(2):226-232. PubMed ID: 37145230
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Is artificial intelligence the final answer to missed polyps in colonoscopy?
    Lui TKL; Leung WK
    World J Gastroenterol; 2020 Sep; 26(35):5248-5255. PubMed ID: 32994685
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Potential applications of artificial intelligence in colorectal polyps and cancer: Recent advances and prospects.
    Wang KW; Dong M
    World J Gastroenterol; 2020 Sep; 26(34):5090-5100. PubMed ID: 32982111
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Impact of artificial intelligence on colorectal polyp detection.
    Antonelli G; Badalamenti M; Hassan C; Repici A
    Best Pract Res Clin Gastroenterol; 2021; 52-53():101713. PubMed ID: 34172246
    [TBL] [Abstract][Full Text] [Related]  

  • 7. [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]  

  • 8. Impact of Artificial Intelligence on Miss Rate of Colorectal Neoplasia.
    Wallace MB; Sharma P; Bhandari P; East J; Antonelli G; Lorenzetti R; Vieth M; Speranza I; Spadaccini M; Desai M; Lukens FJ; Babameto G; Batista D; Singh D; Palmer W; Ramirez F; Palmer R; Lunsford T; Ruff K; Bird-Liebermann E; Ciofoaia V; Arndtz S; Cangemi D; Puddick K; Derfus G; Johal AS; Barawi M; Longo L; Moro L; Repici A; Hassan C
    Gastroenterology; 2022 Jul; 163(1):295-304.e5. PubMed ID: 35304117
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Challenges Facing the Detection of Colonic Polyps: What Can Deep Learning Do?
    Azer SA
    Medicina (Kaunas); 2019 Aug; 55(8):. PubMed ID: 31409050
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Detection of Colorectal Polyps from Colonoscopy Using Machine Learning: A Survey on Modern Techniques.
    ELKarazle K; Raman V; Then P; Chua C
    Sensors (Basel); 2023 Jan; 23(3):. PubMed ID: 36772263
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Advancing Colorectal Cancer Screening: A Comprehensive Systematic Review of Artificial Intelligence (AI)-Assisted Versus Routine Colonoscopy.
    Thomas J; Ravichandran R; Nag A; Gupta L; Singh M; Panjiyar BK
    Cureus; 2023 Sep; 15(9):e45278. PubMed ID: 37846251
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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; 90(1):55-63. PubMed ID: 30926431
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Performance of artificial intelligence for detection of subtle and advanced colorectal neoplasia.
    Ahmad OF; González-Bueno Puyal J; Brandao P; Kader R; Abbasi F; Hussein M; Haidry RJ; Toth D; Mountney P; Seward E; Vega R; Stoyanov D; Lovat LB
    Dig Endosc; 2022 May; 34(4):862-869. PubMed ID: 34748665
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Artificial Intelligence in Colonoscopy.
    Mansour NM
    Curr Gastroenterol Rep; 2023 Jun; 25(6):122-129. PubMed ID: 37129831
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study.
    Wang P; Berzin TM; Glissen Brown JR; Bharadwaj S; Becq A; Xiao X; Liu P; Li L; Song Y; Zhang D; Li Y; Xu G; Tu M; Liu X
    Gut; 2019 Oct; 68(10):1813-1819. PubMed ID: 30814121
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Artificial intelligence can increase the detection rate of colorectal polyps and adenomas: a systematic review and meta-analysis.
    Li J; Lu J; Yan J; Tan Y; Liu D
    Eur J Gastroenterol Hepatol; 2021 Aug; 33(8):1041-1048. PubMed ID: 32804846
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Artificial intelligence-assisted colonoscopy: A prospective, multicenter, randomized controlled trial of polyp detection.
    Xu L; He X; Zhou J; Zhang J; Mao X; Ye G; Chen Q; Xu F; Sang J; Wang J; Ding Y; Li Y; Yu C
    Cancer Med; 2021 Oct; 10(20):7184-7193. PubMed ID: 34477306
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Artificial intelligence (AI) real-time detection vs. routine colonoscopy for colorectal neoplasia: a meta-analysis and trial sequential analysis.
    Deliwala SS; Hamid K; Barbarawi M; Lakshman H; Zayed Y; Kandel P; Malladi S; Singh A; Bachuwa G; Gurvits GE; Chawla S
    Int J Colorectal Dis; 2021 Nov; 36(11):2291-2303. PubMed ID: 33934173
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Effect of artificial intelligence-aided colonoscopy for adenoma and polyp detection: a meta-analysis of randomized clinical trials.
    Huang D; Shen J; Hong J; Zhang Y; Dai S; Du N; Zhang M; Guo D
    Int J Colorectal Dis; 2022 Mar; 37(3):495-506. PubMed ID: 34762157
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Deep Learning Computer-aided Polyp Detection Reduces Adenoma Miss Rate: A United States Multi-center Randomized Tandem Colonoscopy Study (CADeT-CS Trial).
    Glissen Brown JR; Mansour NM; Wang P; Chuchuca MA; Minchenberg SB; Chandnani M; Liu L; Gross SA; Sengupta N; Berzin TM
    Clin Gastroenterol Hepatol; 2022 Jul; 20(7):1499-1507.e4. PubMed ID: 34530161
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.