BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

785 related articles for article (PubMed ID: 30999781)

  • 1. Artificial Intelligence (AI) for the early detection of breast cancer: a scoping review to assess AI's potential in breast screening practice.
    Houssami N; Kirkpatrick-Jones G; Noguchi N; Lee CI
    Expert Rev Med Devices; 2019 May; 16(5):351-362. PubMed ID: 30999781
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 5. Artificial intelligence for breast cancer screening: Opportunity or hype?
    Houssami N; Lee CI; Buist DSM; Tao D
    Breast; 2017 Dec; 36():31-33. PubMed ID: 28938172
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 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. 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]  

  • 10. Radiologist Preferences for Artificial Intelligence-Based Decision Support During Screening Mammography Interpretation.
    Hendrix N; Lowry KP; Elmore JG; Lotter W; Sorensen G; Hsu W; Liao GJ; Parsian S; Kolb S; Naeim A; Lee CI
    J Am Coll Radiol; 2022 Oct; 19(10):1098-1110. PubMed ID: 35970474
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Cost-effectiveness of using artificial intelligence versus polygenic risk score to guide breast cancer screening.
    Mital S; Nguyen HV
    BMC Cancer; 2022 May; 22(1):501. PubMed ID: 35524200
    [TBL] [Abstract][Full Text] [Related]  

  • 13. [Artificial intelligence for cancer detection in breast cancer screening].
    Elhakim MT; Graumann O; Larsen LB; Nielsen M; Rasmussen BS
    Ugeskr Laeger; 2020 Aug; 182(34):. PubMed ID: 32800055
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Artificial Intelligence for breast cancer detection: Technology, challenges, and prospects.
    Díaz O; Rodríguez-Ruíz A; Sechopoulos I
    Eur J Radiol; 2024 Jun; 175():111457. PubMed ID: 38640824
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Anticipating artificial intelligence in mammography screening: views of Swedish breast radiologists.
    Högberg C; Larsson S; Lång K
    BMJ Health Care Inform; 2023 May; 30(1):. PubMed ID: 37217249
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Independent External Validation of Artificial Intelligence Algorithms for Automated Interpretation of Screening Mammography: A Systematic Review.
    Anderson AW; Marinovich ML; Houssami N; Lowry KP; Elmore JG; Buist DSM; Hofvind S; Lee CI
    J Am Coll Radiol; 2022 Feb; 19(2 Pt A):259-273. PubMed ID: 35065909
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Artificial Intelligence in Breast X-Ray Imaging.
    Vedantham S; Shazeeb MS; Chiang A; Vijayaraghavan GR
    Semin Ultrasound CT MR; 2023 Feb; 44(1):2-7. PubMed ID: 36792270
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Artificial Intelligence Evaluation of 122 969 Mammography Examinations from a Population-based Screening Program.
    Larsen M; Aglen CF; Lee CI; Hoff SR; Lund-Hanssen H; Lång K; Nygård JF; Ursin G; Hofvind S
    Radiology; 2022 Jun; 303(3):502-511. PubMed ID: 35348377
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 40.