These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

470 related articles for article (PubMed ID: 37188881)

  • 1. 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]  

  • 2. Impact of real-life use of artificial intelligence as support for human reading in a population-based breast cancer screening program with mammography and tomosynthesis.
    Elías-Cabot E; Romero-Martín S; Raya-Povedano JL; Brehl AK; Álvarez-Benito M
    Eur Radiol; 2024 Jun; 34(6):3958-3966. PubMed ID: 37975920
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Mammographic Surveillance After Breast-Conserving Therapy: Impact of Digital Breast Tomosynthesis and Artificial Intelligence-Based Computer-Aided Detection.
    Yoon JH; Kim EK; Kim GR; Han K; Moon HJ
    AJR Am J Roentgenol; 2022 Jan; 218(1):42-51. PubMed ID: 34378399
    [No Abstract]   [Full Text] [Related]  

  • 4. 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]  

  • 5. Stand-Alone Use of Artificial Intelligence for Digital Mammography and Digital Breast Tomosynthesis Screening: A Retrospective Evaluation.
    Romero-Martín S; Elías-Cabot E; Raya-Povedano JL; Gubern-Mérida A; Rodríguez-Ruiz A; Álvarez-Benito M
    Radiology; 2022 Mar; 302(3):535-542. PubMed ID: 34904872
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 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. Impact of AI for Digital Breast Tomosynthesis on Breast Cancer Detection and Interpretation Time.
    Park EK; Kwak S; Lee W; Choi JS; Kooi T; Kim EK
    Radiol Artif Intell; 2024 May; 6(3):e230318. PubMed ID: 38568095
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Comparisons between artificial intelligence computer-aided detection synthesized mammograms and digital mammograms when used alone and in combination with tomosynthesis images in a virtual screening setting.
    Uematsu T; Nakashima K; Harada TL; Nasu H; Igarashi T
    Jpn J Radiol; 2023 Jan; 41(1):63-70. PubMed ID: 36068450
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Positive Predictive Values of Abnormality Scores From a Commercial Artificial Intelligence-Based Computer-Aided Diagnosis for Mammography.
    Lee SE; Hong H; Kim EK
    Korean J Radiol; 2024 Apr; 25(4):343-350. PubMed ID: 38528692
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Population-wide evaluation of artificial intelligence and radiologist assessment of screening mammograms.
    Kühl J; Elhakim MT; Stougaard SW; Rasmussen BSB; Nielsen M; Gerke O; Larsen LB; Graumann O
    Eur Radiol; 2024 Jun; 34(6):3935-3946. PubMed ID: 37938386
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms.
    Schaffter T; Buist DSM; Lee CI; Nikulin Y; Ribli D; Guan Y; Lotter W; Jie Z; Du H; Wang S; Feng J; Feng M; Kim HE; Albiol F; Albiol A; Morrell S; Wojna Z; Ahsen ME; Asif U; Jimeno Yepes A; Yohanandan S; Rabinovici-Cohen S; Yi D; Hoff B; Yu T; Chaibub Neto E; Rubin DL; Lindholm P; Margolies LR; McBride RB; Rothstein JH; Sieh W; Ben-Ari R; Harrer S; Trister A; Friend S; Norman T; Sahiner B; Strand F; Guinney J; Stolovitzky G; ; Mackey L; Cahoon J; Shen L; Sohn JH; Trivedi H; Shen Y; Buturovic L; Pereira JC; Cardoso JS; Castro E; Kalleberg KT; Pelka O; Nedjar I; Geras KJ; Nensa F; Goan E; Koitka S; Caballero L; Cox DD; Krishnaswamy P; Pandey G; Friedrich CM; Perrin D; Fookes C; Shi B; Cardoso Negrie G; Kawczynski M; Cho K; Khoo CS; Lo JY; Sorensen AG; Jung H
    JAMA Netw Open; 2020 Mar; 3(3):e200265. PubMed ID: 32119094
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study.
    Kim HE; Kim HH; Han BK; Kim KH; Han K; Nam H; Lee EH; Kim EK
    Lancet Digit Health; 2020 Mar; 2(3):e138-e148. PubMed ID: 33334578
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Screening Outcomes of Mammography with AI in Dense Breasts: A Comparative Study with Supplemental Screening US.
    Ha SM; Jang MJ; Youn I; Yoen H; Ji H; Lee SH; Yi A; Chang JM
    Radiology; 2024 Jul; 312(1):e233391. PubMed ID: 39041940
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Breast cancer screening with digital breast tomosynthesis: comparison of different reading strategies implementing artificial intelligence.
    Dahlblom V; Dustler M; Tingberg A; Zackrisson S
    Eur Radiol; 2023 May; 33(5):3754-3765. PubMed ID: 36502459
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Improved Cancer Detection Using Artificial Intelligence: a Retrospective Evaluation of Missed Cancers on Mammography.
    Watanabe AT; Lim V; Vu HX; Chim R; Weise E; Liu J; Bradley WG; Comstock CE
    J Digit Imaging; 2019 Aug; 32(4):625-637. PubMed ID: 31011956
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 24.