BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

265 related articles for article (PubMed ID: 35704111)

  • 21. Can artificial intelligence reduce the interval cancer rate in mammography screening?
    Lång K; Hofvind S; Rodríguez-Ruiz A; Andersson I
    Eur Radiol; 2021 Aug; 31(8):5940-5947. PubMed ID: 33486604
    [TBL] [Abstract][Full Text] [Related]  

  • 22. 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]  

  • 23. 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]  

  • 24. Artificial Intelligence for Reducing Workload in Breast Cancer Screening with Digital Breast Tomosynthesis.
    Shoshan Y; Bakalo R; Gilboa-Solomon F; Ratner V; Barkan E; Ozery-Flato M; Amit M; Khapun D; Ambinder EB; Oluyemi ET; Panigrahi B; DiCarlo PA; Rosen-Zvi M; Mullen LA
    Radiology; 2022 Apr; 303(1):69-77. PubMed ID: 35040677
    [TBL] [Abstract][Full Text] [Related]  

  • 25. 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]  

  • 26. 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]  

  • 27. 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]  

  • 28. 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]  

  • 29. Effect of computer-aided detection on independent double reading of paired screen-film and full-field digital screening mammograms.
    Skaane P; Kshirsagar A; Stapleton S; Young K; Castellino RA
    AJR Am J Roentgenol; 2007 Feb; 188(2):377-84. PubMed ID: 17242245
    [TBL] [Abstract][Full Text] [Related]  

  • 30. 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]  

  • 31. 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]  

  • 32. 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]  

  • 33. 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]  

  • 34. 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]  

  • 35. 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]  

  • 36. How do AI markings on screening mammograms correspond to cancer location? An informed review of 270 breast cancer cases in BreastScreen Norway.
    Koch HW; Larsen M; Bartsch H; Martiniussen MA; Styr BM; Fagerheim S; Haldorsen IHS; Hofvind S
    Eur Radiol; 2024 Feb; ():. PubMed ID: 38396248
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Screening outcome for interpretation by the first and second reader in a population-based mammographic screening program with independent double reading.
    Hovda T; Sagstad S; Larsen M; Chen Y; Hofvind S
    Acta Radiol; 2023 Aug; 64(8):2371-2378. PubMed ID: 37246466
    [TBL] [Abstract][Full Text] [Related]  

  • 38. 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]  

  • 39. Characteristics of screen-detected cancers following concordant or discordant recalls at blinded double reading in biennial digital screening mammography.
    Coolen AMP; Lameijer JRC; Voogd AC; Louwman MWJ; Strobbe LJ; Tjan-Heijnen VCG; Duijm LEM
    Eur Radiol; 2019 Jan; 29(1):337-344. PubMed ID: 29943181
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Mammography screening using independent double reading with consensus: is there a potential benefit for computer-aided detection?
    Skaane P; Kshirsagar A; Hofvind S; Jahr G; Castellino RA
    Acta Radiol; 2012 Apr; 53(3):241-8. PubMed ID: 22287148
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 14.