BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

197 related articles for article (PubMed ID: 37996504)

  • 1. Saliency of breast lesions in breast cancer detection using artificial intelligence.
    Pertuz S; Ortega D; Suarez É; Cancino W; Africano G; Rinta-Kiikka I; Arponen O; Paris S; Lozano A
    Sci Rep; 2023 Nov; 13(1):20545. PubMed ID: 37996504
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Screening mammography performance according to breast density: a comparison between radiologists versus standalone intelligence detection.
    Kwon MR; Chang Y; Ham SY; Cho Y; Kim EY; Kang J; Park EK; Kim KH; Kim M; Kim TS; Lee H; Kwon R; Lim GY; Choi HR; Choi J; Kook SH; Ryu S
    Breast Cancer Res; 2024 Apr; 26(1):68. PubMed ID: 38649889
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 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]  

  • 5. An Artificial Intelligence-based Mammography Screening Protocol for Breast Cancer: Outcome and Radiologist Workload.
    Lauritzen AD; Rodríguez-Ruiz A; von Euler-Chelpin MC; Lynge E; Vejborg I; Nielsen M; Karssemeijer N; Lillholm M
    Radiology; 2022 Jul; 304(1):41-49. PubMed ID: 35438561
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Artificial intelligence (AI) for breast cancer screening: BreastScreen population-based cohort study of cancer detection.
    Marinovich ML; Wylie E; Lotter W; Lund H; Waddell A; Madeley C; Pereira G; Houssami N
    EBioMedicine; 2023 Apr; 90():104498. PubMed ID: 36863255
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. 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]  

  • 10. Artificial intelligence-supported screen reading versus standard double reading in the Mammography Screening with Artificial Intelligence trial (MASAI): a clinical safety analysis of a randomised, controlled, non-inferiority, single-blinded, screening accuracy study.
    Lång K; Josefsson V; Larsson AM; Larsson S; Högberg C; Sartor H; Hofvind S; Andersson I; Rosso A
    Lancet Oncol; 2023 Aug; 24(8):936-944. PubMed ID: 37541274
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Effect of artificial intelligence-based triaging of breast cancer screening mammograms on cancer detection and radiologist workload: a retrospective simulation study.
    Dembrower K; Wåhlin E; Liu Y; Salim M; Smith K; Lindholm P; Eklund M; Strand F
    Lancet Digit Health; 2020 Sep; 2(9):e468-e474. PubMed ID: 33328114
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Possible strategies for use of artificial intelligence in screen-reading of mammograms, based on retrospective data from 122,969 screening examinations.
    Larsen M; Aglen CF; Hoff SR; Lund-Hanssen H; Hofvind S
    Eur Radiol; 2022 Dec; 32(12):8238-8246. PubMed ID: 35704111
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Can artificial intelligence replace ultrasound as a complementary tool to mammogram for the diagnosis of the breast cancer?
    Mansour S; Kamal R; Hashem L; AlKalaawy B
    Br J Radiol; 2021 Dec; 94(1128):20210820. PubMed ID: 34613796
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. 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]  

  • 17. Identifying normal mammograms in a large screening population using artificial intelligence.
    Lång K; Dustler M; Dahlblom V; Åkesson A; Andersson I; Zackrisson S
    Eur Radiol; 2021 Mar; 31(3):1687-1692. PubMed ID: 32876835
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Artificial intelligence computer-aided detection enhances synthesized mammograms: comparison with original digital mammograms alone and in combination with tomosynthesis images in an experimental setting.
    Uematsu T; Nakashima K; Harada TL; Nasu H; Igarashi T
    Breast Cancer; 2023 Jan; 30(1):46-55. PubMed ID: 36001270
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Stand-Alone Artificial Intelligence for Breast Cancer Detection in Mammography: Comparison With 101 Radiologists.
    Rodriguez-Ruiz A; Lång K; Gubern-Merida A; Broeders M; Gennaro G; Clauser P; Helbich TH; Chevalier M; Tan T; Mertelmeier T; Wallis MG; Andersson I; Zackrisson S; Mann RM; Sechopoulos I
    J Natl Cancer Inst; 2019 Sep; 111(9):916-922. PubMed ID: 30834436
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.