229 related articles for article (PubMed ID: 38665752)
1. Artificial Intelligence-Powered Mammography: Navigating the Landscape of Deep Learning for Breast Cancer Detection.
Al Muhaisen S; Safi O; Ulayan A; Aljawamis S; Fakhoury M; Baydoun H; Abuquteish D
Cureus; 2024 Mar; 16(3):e56945. PubMed ID: 38665752
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. 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]
5. 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]
6. Revolutionizing Breast Cancer Detection With Artificial Intelligence (AI) in Radiology and Radiation Oncology: A Systematic Review.
Rentiya ZS; Mandal S; Inban P; Vempalli H; Dabbara R; Ali S; Kaur K; Adegbite A; Intsiful TA; Jayan M; Odoma VA; Khan A
Cureus; 2024 Apr; 16(4):e57619. PubMed ID: 38711711
[TBL] [Abstract][Full Text] [Related]
7. Computational Radiology in Breast Cancer Screening and Diagnosis Using Artificial Intelligence.
Tran WT; Sadeghi-Naini A; Lu FI; Gandhi S; Meti N; Brackstone M; Rakovitch E; Curpen B
Can Assoc Radiol J; 2021 Feb; 72(1):98-108. PubMed ID: 32865001
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Artificial Intelligence for Mammography and Digital Breast Tomosynthesis: Current Concepts and Future Perspectives.
Geras KJ; Mann RM; Moy L
Radiology; 2019 Nov; 293(2):246-259. PubMed ID: 31549948
[TBL] [Abstract][Full Text] [Related]
10. New Horizons: Artificial Intelligence for Digital Breast Tomosynthesis.
Goldberg JE; Reig B; Lewin AA; Gao Y; Heacock L; Heller SL; Moy L
Radiographics; 2023 Jan; 43(1):e220060. PubMed ID: 36331878
[TBL] [Abstract][Full Text] [Related]
11. Recent advancements in artificial intelligence for breast cancer: Image augmentation, segmentation, diagnosis, and prognosis approaches.
Zhang J; Wu J; Zhou XS; Shi F; Shen D
Semin Cancer Biol; 2023 Nov; 96():11-25. PubMed ID: 37704183
[TBL] [Abstract][Full Text] [Related]
12. Revolutionizing Breast Healthcare: Harnessing the Role of Artificial Intelligence.
Singh A; Paruthy SB; Belsariya V; Chandra J N; Singh SK; Manivasagam SS; Choudhary S; Kumar MA; Khera D; Kuraria V
Cureus; 2023 Dec; 15(12):e50203. PubMed ID: 38192969
[TBL] [Abstract][Full Text] [Related]
13. Artificial intelligence for breast cancer detection in mammography and digital breast tomosynthesis: State of the art.
Sechopoulos I; Teuwen J; Mann R
Semin Cancer Biol; 2021 Jul; 72():214-225. PubMed ID: 32531273
[TBL] [Abstract][Full Text] [Related]
14. Artificial Intelligence Applications in Breast Imaging: Current Status and Future Directions.
Taylor CR; Monga N; Johnson C; Hawley JR; Patel M
Diagnostics (Basel); 2023 Jun; 13(12):. PubMed ID: 37370936
[TBL] [Abstract][Full Text] [Related]
15. Deep learning in breast radiology: current progress and future directions.
Ou WC; Polat D; Dogan BE
Eur Radiol; 2021 Jul; 31(7):4872-4885. PubMed ID: 33449174
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. 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]
18. Artificial intelligence in breast imaging.
Le EPV; Wang Y; Huang Y; Hickman S; Gilbert FJ
Clin Radiol; 2019 May; 74(5):357-366. PubMed ID: 30898381
[TBL] [Abstract][Full Text] [Related]
19. 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]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]
