913 related articles for article (PubMed ID: 30993432)
1. 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]
2. 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]
3. 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]
4. Impact of artificial intelligence support on accuracy and reading time in breast tomosynthesis image interpretation: a multi-reader multi-case study.
van Winkel SL; Rodríguez-Ruiz A; Appelman L; Gubern-Mérida A; Karssemeijer N; Teuwen J; Wanders AJT; Sechopoulos I; Mann RM
Eur Radiol; 2021 Nov; 31(11):8682-8691. PubMed ID: 33948701
[TBL] [Abstract][Full Text] [Related]
5. Detection of Breast Cancer with Mammography: Effect of an Artificial Intelligence Support System.
Rodríguez-Ruiz A; Krupinski E; Mordang JJ; Schilling K; Heywang-Köbrunner SH; Sechopoulos I; Mann RM
Radiology; 2019 Feb; 290(2):305-314. PubMed ID: 30457482
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. 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]
9. 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]
10. 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]
11. 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]
12. 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]
13. 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]
14. 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]
15. 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]
16. 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]
17. 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]
18. 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]
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. 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]
[Next] [New Search]
