BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

283 related articles for article (PubMed ID: 36917260)

  • 21. Screening in Patients With Dense Breasts: Comparison of Mammography, Artificial Intelligence, and Supplementary Ultrasound.
    Lee SE; Yoon JH; Son NH; Han K; Moon HJ
    AJR Am J Roentgenol; 2024 Jan; 222(1):e2329655. PubMed ID: 37493324
    [No Abstract]   [Full Text] [Related]  

  • 22. Radiological review of prior screening mammograms of screen-detected breast cancer.
    Hovda T; Tsuruda K; Hoff SR; Sahlberg KK; Hofvind S
    Eur Radiol; 2021 Apr; 31(4):2568-2579. PubMed ID: 33001307
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Artificial intelligence for breast cancer detection in screening mammography in Sweden: a prospective, population-based, paired-reader, non-inferiority study.
    Dembrower K; Crippa A; Colón E; Eklund M; Strand F;
    Lancet Digit Health; 2023 Oct; 5(10):e703-e711. PubMed ID: 37690911
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Use of novel artificial intelligence computer-assisted detection (AI-CAD) for screening mammography: an analysis of 17,884 consecutive two-view full-field digital mammography screening exams.
    Heywang-Köbrunner SH; Hacker A; Jänsch A; Hertlein M; Mieskes C; Elsner S; Sinnatamby R; Katalinic A
    Acta Radiol; 2023 Oct; 64(10):2697-2703. PubMed ID: 37642981
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Breast cancer detection accuracy of AI in an entire screening population: a retrospective, multicentre study.
    Elhakim MT; Stougaard SW; Graumann O; Nielsen M; Lång K; Gerke O; Larsen LB; Rasmussen BSB
    Cancer Imaging; 2023 Dec; 23(1):127. PubMed ID: 38124111
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Artificial intelligence for digital breast tomosynthesis: Impact on diagnostic performance, reading times, and workload in the era of personalized screening.
    Magni V; Cozzi A; Schiaffino S; Colarieti A; Sardanelli F
    Eur J Radiol; 2023 Jan; 158():110631. PubMed ID: 36481480
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Novel mammographic image features differentiate between interval and screen-detected breast cancer: a case-case study.
    Strand F; Humphreys K; Cheddad A; Törnberg S; Azavedo E; Shepherd J; Hall P; Czene K
    Breast Cancer Res; 2016 Oct; 18(1):100. PubMed ID: 27716311
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Automated Volumetric Analysis of Mammographic Density in a Screening Setting: Worse Outcomes for Women with Dense Breasts.
    Moshina N; Sebuødegård S; Lee CI; Akslen LA; Tsuruda KM; Elmore JG; Hofvind S
    Radiology; 2018 Aug; 288(2):343-352. PubMed ID: 29944088
    [TBL] [Abstract][Full Text] [Related]  

  • 29. AI for reading screening mammograms: the need for circumspection.
    Autier P; Burrion JB; Grivegnée AR
    Eur Radiol; 2020 Sep; 30(9):4783-4784. PubMed ID: 32318845
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Impact of Artificial Intelligence System and Volumetric Density on Risk Prediction of Interval, Screen-Detected, and Advanced Breast Cancer.
    Vachon CM; Scott CG; Norman AD; Khanani SA; Jensen MR; Hruska CB; Brandt KR; Winham SJ; Kerlikowske K
    J Clin Oncol; 2023 Jun; 41(17):3172-3183. PubMed ID: 37104728
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Can we reduce the workload of mammographic screening by automatic identification of normal exams with artificial intelligence? A feasibility study.
    Rodriguez-Ruiz A; Lång K; Gubern-Merida A; Teuwen J; Broeders M; Gennaro G; Clauser P; Helbich TH; Chevalier M; Mertelmeier T; Wallis MG; Andersson I; Zackrisson S; Sechopoulos I; Mann RM
    Eur Radiol; 2019 Sep; 29(9):4825-4832. PubMed ID: 30993432
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Use of artificial intelligence for image analysis in breast cancer screening programmes: systematic review of test accuracy.
    Freeman K; Geppert J; Stinton C; Todkill D; Johnson S; Clarke A; Taylor-Phillips S
    BMJ; 2021 Sep; 374():n1872. PubMed ID: 34470740
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Effect of artificial intelligence-based computer-aided diagnosis on the screening outcomes of digital mammography: a matched cohort study.
    Kim H; Choi JS; Kim K; Ko ES; Ko EY; Han BK
    Eur Radiol; 2023 Oct; 33(10):7186-7198. PubMed ID: 37188881
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Detection of Breast Cancer with Mammography: Effect of an Artificial Intelligence Support System.
    Rodríguez-Ruiz A; Krupinski E; Mordang JJ; Schilling K; Heywang-Köbrunner SH; Sechopoulos I; Mann RM
    Radiology; 2019 Feb; 290(2):305-314. PubMed ID: 30457482
    [TBL] [Abstract][Full Text] [Related]  

  • 35. AI for interpreting screening mammograms: implications for missed cancer in double reading practices and challenging-to-locate lesions.
    Jiang Z; Gandomkar Z; Trieu PDY; Taba ST; Barron ML; Lewis SJ
    Sci Rep; 2024 May; 14(1):11893. PubMed ID: 38789575
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Mammographic features and risk of breast cancer death among women with invasive screen-detected cancer in BreastScreen Norway 1996-2020.
    Moshina N; Backmann HA; Skaane P; Hofvind S
    Eur Radiol; 2024 May; 34(5):3364-3374. PubMed ID: 37935848
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Interval Cancer Detection Using a Neural Network and Breast Density in Women with Negative Screening Mammograms.
    Wanders AJT; Mees W; Bun PAM; Janssen N; Rodríguez-Ruiz A; Dalmış MU; Karssemeijer N; van Gils CH; Sechopoulos I; Mann RM; van Rooden CJ
    Radiology; 2022 May; 303(2):269-275. PubMed ID: 35133194
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Using deep learning to assist readers during the arbitration process: a lesion-based retrospective evaluation of breast cancer screening performance.
    Kerschke L; Weigel S; Rodriguez-Ruiz A; Karssemeijer N; Heindel W
    Eur Radiol; 2022 Feb; 32(2):842-852. PubMed ID: 34383147
    [TBL] [Abstract][Full Text] [Related]  

  • 39. AI-based Strategies to Reduce Workload in Breast Cancer Screening with Mammography and Tomosynthesis: A Retrospective Evaluation.
    Raya-Povedano JL; Romero-Martín S; Elías-Cabot E; Gubern-Mérida A; Rodríguez-Ruiz A; Álvarez-Benito M
    Radiology; 2021 Jul; 300(1):57-65. PubMed ID: 33944627
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Screen-detected versus interval cancers: Effect of imaging modality and breast density in the Flemish Breast Cancer Screening Programme.
    Timmermans L; Bleyen L; Bacher K; Van Herck K; Lemmens K; Van Ongeval C; Van Steen A; Martens P; De Brabander I; Goossens M; Thierens H
    Eur Radiol; 2017 Sep; 27(9):3810-3819. PubMed ID: 28289944
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 15.