101 related articles for article (PubMed ID: 35054273)
1. The Application of Artificial Intelligence-Assisted Colposcopy in a Tertiary Care Hospital within a Cervical Pathology Diagnostic Unit.
Zimmer-Stelmach A; Zak J; Pawlosek A; Rosner-Tenerowicz A; Budny-Winska J; Pomorski M; Fuchs T; Zimmer M
Diagnostics (Basel); 2022 Jan; 12(1):. PubMed ID: 35054273
[TBL] [Abstract][Full Text] [Related]
2. Artificial intelligence in colposcopic examination: A promising tool to assist junior colposcopists.
Wu A; Xue P; Abulizi G; Tuerxun D; Rezhake R; Qiao Y
Front Med (Lausanne); 2023; 10():1060451. PubMed ID: 37056736
[TBL] [Abstract][Full Text] [Related]
3. An artificial intelligence-assisted diagnostic system improves the accuracy of image diagnosis of uterine cervical lesions.
Ito Y; Miyoshi A; Ueda Y; Tanaka Y; Nakae R; Morimoto A; Shiomi M; Enomoto T; Sekine M; Sasagawa T; Yoshino K; Harada H; Nakamura T; Murata T; Hiramatsu K; Saito J; Yagi J; Tanaka Y; Kimura T
Mol Clin Oncol; 2022 Feb; 16(2):27. PubMed ID: 34987798
[TBL] [Abstract][Full Text] [Related]
4. The challenges of colposcopy for cervical cancer screening in LMICs and solutions by artificial intelligence.
Xue P; Ng MTA; Qiao Y
BMC Med; 2020 Jun; 18(1):169. PubMed ID: 32493320
[TBL] [Abstract][Full Text] [Related]
5. The Performance of Artificial Intelligence in Cervical Colposcopy: A Retrospective Data Analysis.
Zhao Y; Li Y; Xing L; Lei H; Chen D; Tang C; Li X
J Oncol; 2022; 2022():4370851. PubMed ID: 35035480
[TBL] [Abstract][Full Text] [Related]
6. Role of Artificial Intelligence Interpretation of Colposcopic Images in Cervical Cancer Screening.
Kim S; Lee H; Lee S; Song JY; Lee JK; Lee NW
Healthcare (Basel); 2022 Mar; 10(3):. PubMed ID: 35326946
[TBL] [Abstract][Full Text] [Related]
7. MAVARIC - a comparison of automation-assisted and manual cervical screening: a randomised controlled trial.
Kitchener HC; Blanks R; Cubie H; Desai M; Dunn G; Legood R; Gray A; Sadique Z; Moss S;
Health Technol Assess; 2011 Jan; 15(3):iii-iv, ix-xi, 1-170. PubMed ID: 21266159
[TBL] [Abstract][Full Text] [Related]
8. Pivotal Clinical Study to Evaluate the Efficacy and Safety of Assistive Artificial Intelligence-Based Software for Cervical Cancer Diagnosis.
Kim S; An H; Cho HW; Min KJ; Hong JH; Lee S; Song JY; Lee JK; Lee NW
J Clin Med; 2023 Jun; 12(12):. PubMed ID: 37373717
[TBL] [Abstract][Full Text] [Related]
9. Application of deep learning to the classification of uterine cervical squamous epithelial lesion from colposcopy images.
Miyagi Y; Takehara K; Miyake T
Mol Clin Oncol; 2019 Dec; 11(6):583-589. PubMed ID: 31692958
[TBL] [Abstract][Full Text] [Related]
10. Comparison of Chest Radiograph Interpretations by Artificial Intelligence Algorithm vs Radiology Residents.
Wu JT; Wong KCL; Gur Y; Ansari N; Karargyris A; Sharma A; Morris M; Saboury B; Ahmad H; Boyko O; Syed A; Jadhav A; Wang H; Pillai A; Kashyap S; Moradi M; Syeda-Mahmood T
JAMA Netw Open; 2020 Oct; 3(10):e2022779. PubMed ID: 33034642
[TBL] [Abstract][Full Text] [Related]
11. Diagnosis of Cervical Cancer and Pre-Cancerous Lesions by Artificial Intelligence: A Systematic Review.
Allahqoli L; Laganà AS; Mazidimoradi A; Salehiniya H; Günther V; Chiantera V; Karimi Goghari S; Ghiasvand MM; Rahmani A; Momenimovahed Z; Alkatout I
Diagnostics (Basel); 2022 Nov; 12(11):. PubMed ID: 36428831
[TBL] [Abstract][Full Text] [Related]
12. Automated Assessment of Digital Images of Uterine Cervix Captured Using Transvaginal Device-A Pilot Study.
Shamsunder S; Mishra A; Kumar A; Kolte S
Diagnostics (Basel); 2023 Sep; 13(19):. PubMed ID: 37835828
[TBL] [Abstract][Full Text] [Related]
13. Artificial Intelligence in Cervical Cancer Screening and Diagnosis.
Hou X; Shen G; Zhou L; Li Y; Wang T; Ma X
Front Oncol; 2022; 12():851367. PubMed ID: 35359358
[TBL] [Abstract][Full Text] [Related]
14. Diagnostic colposcopic accuracy by the gynocular and a stationary colposcope.
Kallner HK; Persson M; Thuresson M; Altman D; Shemer I; Thorsell M; Shemer EA
Int J Technol Assess Health Care; 2015 Jan; 31(3):181-7. PubMed ID: 26063001
[TBL] [Abstract][Full Text] [Related]
15. Development of an artificial intelligence-based assessment model for prediction of embryo viability using static images captured by optical light microscopy during IVF.
VerMilyea M; Hall JMM; Diakiw SM; Johnston A; Nguyen T; Perugini D; Miller A; Picou A; Murphy AP; Perugini M
Hum Reprod; 2020 Apr; 35(4):770-784. PubMed ID: 32240301
[TBL] [Abstract][Full Text] [Related]
16. Quantitative Screening of Cervical Cancers for Low-Resource Settings: Pilot Study of Smartphone-Based Endoscopic Visual Inspection After Acetic Acid Using Machine Learning Techniques.
Bae JK; Roh HJ; You JS; Kim K; Ahn Y; Askaruly S; Park K; Yang H; Jang GJ; Moon KH; Jung W
JMIR Mhealth Uhealth; 2020 Mar; 8(3):e16467. PubMed ID: 32159521
[TBL] [Abstract][Full Text] [Related]
17. Diagnostic accuracy of high-risk HPV DNA genotyping for primary cervical cancer screening and triage of HPV-positive women, compared to cytology: preliminary results of the PIPAVIR study.
Chatzistamatiou K; Moysiadis T; Angelis E; Kaufmann A; Skenderi A; Jansen-Duerr P; Lekka I; Kilintzis V; Angelidou S; Katsiki E; Hagemann I; Tsertanidou A; Koch I; Boecher O; Soutschek E; Maglaveras N; Agorastos T
Arch Gynecol Obstet; 2017 May; 295(5):1247-1257. PubMed ID: 28337594
[TBL] [Abstract][Full Text] [Related]
18. Agreement of colposcope and gynocular in assessment of cervical lesions by swede score: a randomized, crossover pilot trial.
Ngonzi J; Bajunirwe F; Wistrand C; Mayanja R; Altman D; Thorsell M; Wikström Shemer EA
J Low Genit Tract Dis; 2013 Oct; 17(4):372-7. PubMed ID: 23645068
[TBL] [Abstract][Full Text] [Related]
19. A Comparison of 3 Ways of Conventional Pap Smear, Liquid-Based Cytology and Colposcopy vs Cervical Biopsy for Early Diagnosis of Premalignant Lesions or Cervical Cancer in Women with Abnormal Conventional Pap Test.
Karimi-Zarchi M; Peighmbari F; Karimi N; Rohi M; Chiti Z
Int J Biomed Sci; 2013 Dec; 9(4):205-10. PubMed ID: 24711755
[TBL] [Abstract][Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]