BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

219 related articles for article (PubMed ID: 38124111)

  • 21. External Evaluation of 3 Commercial Artificial Intelligence Algorithms for Independent Assessment of Screening Mammograms.
    Salim M; Wåhlin E; Dembrower K; Azavedo E; Foukakis T; Liu Y; Smith K; Eklund M; Strand F
    JAMA Oncol; 2020 Oct; 6(10):1581-1588. PubMed ID: 32852536
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Retrospective comparison between single reading plus an artificial intelligence algorithm and two-view digital tomosynthesis with double reading in breast screening.
    Graewingholt A; Duffy S
    J Med Screen; 2021 Sep; 28(3):365-368. PubMed ID: 33402033
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Combining the strengths of radiologists and AI for breast cancer screening: a retrospective analysis.
    Leibig C; Brehmer M; Bunk S; Byng D; Pinker K; Umutlu L
    Lancet Digit Health; 2022 Jul; 4(7):e507-e519. PubMed ID: 35750400
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Artificial intelligence in BreastScreen Norway: a retrospective analysis of a cancer-enriched sample including 1254 breast cancer cases.
    Koch HW; Larsen M; Bartsch H; Kurz KD; Hofvind S
    Eur Radiol; 2023 May; 33(5):3735-3743. PubMed ID: 36917260
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Artificial Intelligence as Supporting Reader in Breast Screening: A Novel Workflow to Preserve Quality and Reduce Workload.
    Ng AY; Glocker B; Oberije C; Fox G; Sharma N; James JJ; Ambrózay É; Nash J; Karpati E; Kerruish S; Kecskemethy PD
    J Breast Imaging; 2023 May; 5(3):267-276. PubMed ID: 38416889
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Use of Artificial Intelligence for Reducing Unnecessary Recalls at Screening Mammography: A Simulation Study.
    Kim YS; Jang MJ; Lee SH; Kim SY; Ha SM; Kwon BR; Moon WK; Chang JM
    Korean J Radiol; 2022 Dec; 23(12):1241-1250. PubMed ID: 36447412
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Early Indicators of the Impact of Using AI in Mammography Screening for Breast Cancer.
    Lauritzen AD; Lillholm M; Lynge E; Nielsen M; Karssemeijer N; Vejborg I
    Radiology; 2024 Jun; 311(3):e232479. PubMed ID: 38832880
    [TBL] [Abstract][Full Text] [Related]  

  • 28. 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]  

  • 29. Artificial intelligence (AI) to enhance breast cancer screening: protocol for population-based cohort study of cancer detection.
    Marinovich ML; Wylie E; Lotter W; Pearce A; Carter SM; Lund H; Waddell A; Kim JG; Pereira GF; Lee CI; Zackrisson S; Brennan M; Houssami N
    BMJ Open; 2022 Jan; 12(1):e054005. PubMed ID: 34980622
    [TBL] [Abstract][Full Text] [Related]  

  • 30. 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]  

  • 31. Diagnostic Performance of AI for Cancers Registered in A Mammography Screening Program: A Retrospective Analysis.
    Kizildag Yirgin I; Koyluoglu YO; Seker ME; Ozkan Gurdal S; Ozaydin AN; Ozcinar B; Cabioğlu N; Ozmen V; Aribal E
    Technol Cancer Res Treat; 2022; 21():15330338221075172. PubMed ID: 35060413
    [No Abstract]   [Full Text] [Related]  

  • 32. 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]  

  • 33. Additional double reading of screening mammograms by radiologic technologists: impact on screening performance parameters.
    Duijm LE; Groenewoud JH; Fracheboud J; de Koning HJ
    J Natl Cancer Inst; 2007 Aug; 99(15):1162-70. PubMed ID: 17652282
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Protocol for evaluating the fitness for purpose of an artificial intelligence product for radiology reporting in the BreastScreen New South Wales breast cancer screening programme.
    Warner-Smith M; Ren K; Mistry C; Walton R; Roder D; Bhola N; McGill S; O'Brien TA
    BMJ Open; 2024 May; 14(5):e082350. PubMed ID: 38806433
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Performance of an Artificial Intelligence System for Breast Cancer Detection on Screening Mammograms from BreastScreen Norway.
    Larsen M; Olstad CF; Lee CI; Hovda T; Hoff SR; Martiniussen MA; Mikalsen KØ; Lund-Hanssen H; Solli HS; Silberhorn M; Sulheim ÅØ; Auensen S; Nygård JF; Hofvind S
    Radiol Artif Intell; 2024 May; 6(3):e230375. PubMed ID: 38597784
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Breast screening using 2D-mammography or integrating digital breast tomosynthesis (3D-mammography) for single-reading or double-reading--evidence to guide future screening strategies.
    Houssami N; Macaskill P; Bernardi D; Caumo F; Pellegrini M; Brunelli S; Tuttobene P; Bricolo P; Fantò C; Valentini M; Ciatto S
    Eur J Cancer; 2014 Jul; 50(10):1799-1807. PubMed ID: 24746887
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Artificial intelligence assistance for women who had spot compression view: reducing recall rates for digital mammography.
    Lee SE; Kim GR; Yoon JH; Han K; Son WJ; Shin HJ; Moon HJ
    Acta Radiol; 2023 May; 64(5):1808-1815. PubMed ID: 36426409
    [TBL] [Abstract][Full Text] [Related]  

  • 38. 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]  

  • 39. Optimising breast cancer screening reading: blinding the second reader to the first reader's decisions.
    Cooper JA; Jenkinson D; Stinton C; Wallis MG; Hudson S; Taylor-Phillips S
    Eur Radiol; 2022 Jan; 32(1):602-612. PubMed ID: 34117912
    [TBL] [Abstract][Full Text] [Related]  

  • 40. One-view breast tomosynthesis versus two-view mammography in the Malmö Breast Tomosynthesis Screening Trial (MBTST): a prospective, population-based, diagnostic accuracy study.
    Zackrisson S; Lång K; Rosso A; Johnson K; Dustler M; Förnvik D; Förnvik H; Sartor H; Timberg P; Tingberg A; Andersson I
    Lancet Oncol; 2018 Nov; 19(11):1493-1503. PubMed ID: 30322817
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.