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 *

412 related articles for article (PubMed ID: 33524298)

  • 1. Artificial Intelligence-Aided Colonoscopy for Polyp Detection: A Systematic Review and Meta-Analysis of Randomized Clinical Trials.
    Zhang Y; Zhang X; Wu Q; Gu C; Wang Z
    J Laparoendosc Adv Surg Tech A; 2021 Oct; 31(10):1143-1149. PubMed ID: 33524298
    [No Abstract]   [Full Text] [Related]  

  • 2. 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]  

  • 3. The Impact of Artificial Intelligence in Improving Polyp and Adenoma Detection Rate During Colonoscopy: Systematic-Review and Meta-Analysis.
    Adiwinata R; Tandarto K; Arifputra J; Waleleng BJ; Gosal F; Rotty L; Winarta J; Waleleng A; Simadibrata P; Simadibrata M
    Asian Pac J Cancer Prev; 2023 Nov; 24(11):3655-3663. PubMed ID: 38019222
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Effect of computer-aided colonoscopy on adenoma miss rates and polyp detection: A systematic review and meta-analysis.
    Shah S; Park N; Chehade NEH; Chahine A; Monachese M; Tiritilli A; Moosvi Z; Ortizo R; Samarasena J
    J Gastroenterol Hepatol; 2023 Feb; 38(2):162-176. PubMed ID: 36350048
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. One-year review of real-time artificial intelligence (AI)-aided endoscopy performance.
    Chin SE; Wan FT; Ladlad J; Chue KM; ; Teo EK; Lin CL; Foo FJ; Koh FH
    Surg Endosc; 2023 Aug; 37(8):6402-6407. PubMed ID: 36932187
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Performance of artificial intelligence in colonoscopy for adenoma and polyp detection: a systematic review and meta-analysis.
    Hassan C; Spadaccini M; Iannone A; Maselli R; Jovani M; Chandrasekar VT; Antonelli G; Yu H; Areia M; Dinis-Ribeiro M; Bhandari P; Sharma P; Rex DK; Rösch T; Wallace M; Repici A
    Gastrointest Endosc; 2021 Jan; 93(1):77-85.e6. PubMed ID: 32598963
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Artificial intelligence for polyp detection during colonoscopy: a systematic review and meta-analysis.
    Barua I; Vinsard DG; Jodal HC; Løberg M; Kalager M; Holme Ø; Misawa M; Bretthauer M; Mori Y
    Endoscopy; 2021 Mar; 53(3):277-284. PubMed ID: 32557490
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The impact of deep convolutional neural network-based artificial intelligence on colonoscopy outcomes: A systematic review with meta-analysis.
    Aziz M; Fatima R; Dong C; Lee-Smith W; Nawras A
    J Gastroenterol Hepatol; 2020 Oct; 35(10):1676-1683. PubMed ID: 32267558
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Real-time artificial intelligence (AI)-aided endoscopy improves adenoma detection rates even in experienced endoscopists: a cohort study in Singapore.
    Koh FH; Ladlad J; ; Teo EK; Lin CL; Foo FJ
    Surg Endosc; 2023 Jan; 37(1):165-171. PubMed ID: 35882667
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Endocuff With or Without Artificial Intelligence-Assisted Colonoscopy in Detection of Colorectal Adenoma: A Randomized Colonoscopy Trial.
    Lui TK; Lam CP; To EW; Ko MK; Tsui VWM; Liu KS; Hui CK; Cheung MK; Mak LL; Hui RW; Wong SY; Seto WK; Leung WK
    Am J Gastroenterol; 2024 Jul; 119(7):1318-1325. PubMed ID: 38305278
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Artificial Intelligence-Assisted Colonoscopy for Colorectal Cancer Screening: A Multicenter Randomized Controlled Trial.
    Xu H; Tang RSY; Lam TYT; Zhao G; Lau JYW; Liu Y; Wu Q; Rong L; Xu W; Li X; Wong SH; Cai S; Wang J; Liu G; Ma T; Liang X; Mak JWY; Xu H; Yuan P; Cao T; Li F; Ye Z; Shutian Z; Sung JJY
    Clin Gastroenterol Hepatol; 2023 Feb; 21(2):337-346.e3. PubMed ID: 35863686
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Impact of Artificial Intelligence on Colonoscopy Surveillance After Polyp Removal: A Pooled Analysis of Randomized Trials.
    Mori Y; Wang P; Løberg M; Misawa M; Repici A; Spadaccini M; Correale L; Antonelli G; Yu H; Gong D; Ishiyama M; Kudo SE; Kamba S; Sumiyama K; Saito Y; Nishino H; Liu P; Glissen Brown JR; Mansour NM; Gross SA; Kalager M; Bretthauer M; Rex DK; Sharma P; Berzin TM; Hassan C
    Clin Gastroenterol Hepatol; 2023 Apr; 21(4):949-959.e2. PubMed ID: 36038128
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Impact of study design on adenoma detection in the evaluation of artificial intelligence-aided colonoscopy: a systematic review and meta-analysis.
    Lee MCM; Parker CH; Liu LWC; Farahvash A; Jeyalingam T
    Gastrointest Endosc; 2024 May; 99(5):676-687.e16. PubMed ID: 38272274
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Artificial intelligence technologies for the detection of colorectal lesions: The future is now.
    Attardo S; Chandrasekar VT; Spadaccini M; Maselli R; Patel HK; Desai M; Capogreco A; Badalamenti M; Galtieri PA; Pellegatta G; Fugazza A; Carrara S; Anderloni A; Occhipinti P; Hassan C; Sharma P; Repici A
    World J Gastroenterol; 2020 Oct; 26(37):5606-5616. PubMed ID: 33088155
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Artificial intelligence for colorectal neoplasia detection during colonoscopy: a systematic review and meta-analysis of randomized clinical trials.
    Lou S; Du F; Song W; Xia Y; Yue X; Yang D; Cui B; Liu Y; Han P
    EClinicalMedicine; 2023 Dec; 66():102341. PubMed ID: 38078195
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. The effect of the endoscopic device Endocuff™/Endocuff vision™ on quality standards in colonoscopy: A systematic review and meta-analysis of randomized trials.
    Walls M; Houwen BBSL; Rice S; Seager A; Dekker E; Sharp L; Rees CJ
    Colorectal Dis; 2023 Apr; 25(4):573-585. PubMed ID: 36471638
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 21.