155 related articles for article (PubMed ID: 38556473)
1. Performance comparison between two computer-aided detection colonoscopy models by trainees using different false positive thresholds: a cross-sectional study in Thailand.
Tiankanon K; Karuehardsuwan J; Aniwan S; Mekaroonkamol P; Sunthornwechapong P; Navadurong H; Tantitanawat K; Mekritthikrai K; Samutrangsi S; Vateekul P; Rerknimitr R
Clin Endosc; 2024 Mar; 57(2):217-225. PubMed ID: 38556473
[TBL] [Abstract][Full Text] [Related]
2. Frame-by-Frame Analysis of a Commercially Available Artificial Intelligence Polyp Detection System in Full-Length Colonoscopies.
Brand M; Troya J; Krenzer A; De Maria C; Mehlhase N; Götze S; Walter B; Meining A; Hann A
Digestion; 2022; 103(5):378-385. PubMed ID: 35767938
[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. Direct comparison of multiple computer-aided polyp detection systems.
Troya J; Sudarevic B; Krenzer A; Banck M; Brand M; Walter BM; Puppe F; Zoller WG; Meining A; Hann A
Endoscopy; 2024 Jan; 56(1):63-69. PubMed ID: 37532115
[TBL] [Abstract][Full Text] [Related]
5. Benchmarking definitions of false-positive alerts during computer-aided polyp detection in colonoscopy.
Holzwanger EA; Bilal M; Glissen Brown JR; Singh S; Becq A; Ernest-Suarez K; Berzin TM
Endoscopy; 2021 Sep; 53(9):937-940. PubMed ID: 33137833
[TBL] [Abstract][Full Text] [Related]
6. Evaluating false-positive detection in a computer-aided detection system for colonoscopy.
Okumura T; Imai K; Misawa M; Kudo SE; Hotta K; Ito S; Kishida Y; Takada K; Kawata N; Maeda Y; Yoshida M; Yamamoto Y; Minamide T; Ishiwatari H; Sato J; Matsubayashi H; Ono H
J Gastroenterol Hepatol; 2024 May; 39(5):927-934. PubMed ID: 38273460
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Assessment of the role of false-positive alerts in computer-aided polyp detection for assistance capabilities.
Zhang C; Yao L; Jiang R; Wang J; Wu H; Li X; Wu Z; Luo R; Luo C; Tan X; Wang W; Xiao B; Hu H; Yu H
J Gastroenterol Hepatol; 2024 May; ():. PubMed ID: 38744667
[TBL] [Abstract][Full Text] [Related]
9. Polyp detection algorithm can detect small polyps: Ex vivo reading test compared with endoscopists.
Guo Z; Nemoto D; Zhu X; Li Q; Aizawa M; Utano K; Isohata N; Endo S; Kawarai Lefor A; Togashi K
Dig Endosc; 2021 Jan; 33(1):162-169. PubMed ID: 32173917
[TBL] [Abstract][Full Text] [Related]
10. Establishment and validation of a computer-assisted colonic polyp localization system based on deep learning.
Zhao SB; Yang W; Wang SL; Pan P; Wang RD; Chang X; Sun ZQ; Fu XH; Shang H; Wu JR; Chen LZ; Chang J; Song P; Miao YL; He SX; Miao L; Jiang HQ; Wang W; Yang X; Dong YH; Lin H; Chen Y; Gao J; Meng QQ; Jin ZD; Li ZS; Bai Y
World J Gastroenterol; 2021 Aug; 27(31):5232-5246. PubMed ID: 34497447
[TBL] [Abstract][Full Text] [Related]
11. Performance and attitudes toward real-time computer-aided polyp detection during colonoscopy in a large tertiary referral center in the United States.
Nehme F; Coronel E; Barringer DA; Romero LG; Shafi MA; Ross WA; Ge PS
Gastrointest Endosc; 2023 Jul; 98(1):100-109.e6. PubMed ID: 36801459
[TBL] [Abstract][Full Text] [Related]
12. Comparing the number and relevance of false activations between 2 artificial intelligence computer-aided detection systems: the NOISE study.
Spadaccini M; Hassan C; Alfarone L; Da Rio L; Maselli R; Carrara S; Galtieri PA; Pellegatta G; Fugazza A; Koleth G; Emmanuel J; Anderloni A; Mori Y; Wallace MB; Sharma P; Repici A
Gastrointest Endosc; 2022 May; 95(5):975-981.e1. PubMed ID: 34995639
[TBL] [Abstract][Full Text] [Related]
13. Evaluation of Computer-Aided Detection During Colonoscopy in the Community (AI-SEE): A Multicenter Randomized Clinical Trial.
Wei MT; Shankar U; Parvin R; Abbas SH; Chaudhary S; Friedlander Y; Friedland S
Am J Gastroenterol; 2023 Oct; 118(10):1841-1847. PubMed ID: 36892545
[TBL] [Abstract][Full Text] [Related]
14. A video based benchmark data set (ENDOTEST) to evaluate computer-aided polyp detection systems.
Fitting D; Krenzer A; Troya J; Banck M; Sudarevic B; Brand M; Böck W; Zoller WG; Rösch T; Puppe F; Meining A; Hann A
Scand J Gastroenterol; 2022 Nov; 57(11):1397-1403. PubMed ID: 35701020
[TBL] [Abstract][Full Text] [Related]
15. Polyp detection and false-positive rates by computer-aided analysis of withdrawal-phase videos of colonoscopy of the right-sided colon segment in a randomized controlled trial comparing water exchange and air insufflation.
Tang CP; Lin TL; Hsieh YH; Hsieh CH; Tseng CW; Leung FW
Gastrointest Endosc; 2022 Jun; 95(6):1198-1206.e6. PubMed ID: 34973967
[TBL] [Abstract][Full Text] [Related]
16. Real-time use of a computer-aided system for polyp detection during colonoscopy, an ambispective study.
Shen P; Li WZ; Li JX; Pei ZC; Luo YX; Mu JB; Li W; Wang XM
J Dig Dis; 2021 May; 22(5):256-262. PubMed ID: 33742774
[TBL] [Abstract][Full Text] [Related]
17. Artificial intelligence empowers the second-observer strategy for colonoscopy: a randomized clinical trial.
Wang P; Liu XG; Kang M; Peng X; Shu ML; Zhou GY; Liu PX; Xiong F; Deng MM; Xia HF; Li JJ; Long XQ; Song Y; Li LP
Gastroenterol Rep (Oxf); 2023; 11():goac081. PubMed ID: 36686571
[TBL] [Abstract][Full Text] [Related]
18. A computer-aided system improves the performance of endoscopists in detecting colorectal polyps: a multi-center, randomized controlled trial.
Zhang H; Wu Q; Sun J; Wang J; Zhou L; Cai W; Zou D
Front Med (Lausanne); 2023; 10():1341259. PubMed ID: 38327275
[TBL] [Abstract][Full Text] [Related]
19. Development and evaluation of a deep learning model to improve the usability of polyp detection systems during interventions.
Brand M; Troya J; Krenzer A; Saßmannshausen Z; Zoller WG; Meining A; Lux TJ; Hann A
United European Gastroenterol J; 2022 Jun; 10(5):477-484. PubMed ID: 35511456
[TBL] [Abstract][Full Text] [Related]
20. Real-time colorectal polyp detection using a novel computer-aided detection system (CADe): a feasibility study.
Soons E; Rath T; Hazewinkel Y; van Dop WA; Esposito D; Testoni PA; Siersema PD
Int J Colorectal Dis; 2022 Oct; 37(10):2219-2228. PubMed ID: 36163514
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
