322 related articles for article (PubMed ID: 32052311)
1. Artificial intelligence for breast cancer detection in mammography: experience of use of the ScreenPoint Medical Transpara system in 310 Japanese women.
Sasaki M; Tozaki M; Rodríguez-Ruiz A; Yotsumoto D; Ichiki Y; Terawaki A; Oosako S; Sagara Y; Sagara Y
Breast Cancer; 2020 Jul; 27(4):642-651. PubMed ID: 32052311
[TBL] [Abstract][Full Text] [Related]
2. 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]
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. 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]
5. 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]
6. 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]
7. Impact of Artificial Intelligence Decision Support Using Deep Learning on Breast Cancer Screening Interpretation with Single-View Wide-Angle Digital Breast Tomosynthesis.
Pinto MC; Rodriguez-Ruiz A; Pedersen K; Hofvind S; Wicklein J; Kappler S; Mann RM; Sechopoulos I
Radiology; 2021 Sep; 300(3):529-536. PubMed ID: 34227882
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. 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]
11. Impact of prior mammograms on combined reading of digital mammography and digital breast tomosynthesis.
Kim WH; Chang JM; Koo HR; Seo M; Bae MS; Lee J; Moon WK
Acta Radiol; 2017 Feb; 58(2):148-155. PubMed ID: 27178032
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. A review of computer aided detection in mammography.
Katzen J; Dodelzon K
Clin Imaging; 2018; 52():305-309. PubMed ID: 30216858
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Impact of a Categorical AI System for Digital Breast Tomosynthesis on Breast Cancer Interpretation by Both General Radiologists and Breast Imaging Specialists.
Kim JG; Haslam B; Diab AR; Sakhare A; Grisot G; Lee H; Holt J; Lee CI; Lotter W; Sorensen AG
Radiol Artif Intell; 2024 Mar; 6(2):e230137. PubMed ID: 38323914
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. 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]
19. One-view breast tomosynthesis versus two-view mammography in the Malmö Breast Tomosynthesis Screening Trial (MBTST): a prospective, population-based, diagnostic accuracy study.
Zackrisson S; Lång K; Rosso A; Johnson K; Dustler M; Förnvik D; Förnvik H; Sartor H; Timberg P; Tingberg A; Andersson I
Lancet Oncol; 2018 Nov; 19(11):1493-1503. PubMed ID: 30322817
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
