150 related articles for article (PubMed ID: 38528136)
1. AI performance by mammographic density in a retrospective cohort study of 99,489 participants in BreastScreen Norway.
Bergan MB; Larsen M; Moshina N; Bartsch H; Koch HW; Aase HS; Satybaldinov Z; Haldorsen IHS; Lee CI; Hofvind S
Eur Radiol; 2024 Mar; ():. PubMed ID: 38528136
[TBL] [Abstract][Full Text] [Related]
2. Mammographic density and interval cancers in mammographic screening: Moving towards more personalized screening.
Larsen M; Lynge E; Lee CI; Lång K; Hofvind S
Breast; 2023 Jun; 69():306-311. PubMed ID: 36966656
[TBL] [Abstract][Full Text] [Related]
3. Artificial intelligence in BreastScreen Norway: a retrospective analysis of a cancer-enriched sample including 1254 breast cancer cases.
Koch HW; Larsen M; Bartsch H; Kurz KD; Hofvind S
Eur Radiol; 2023 May; 33(5):3735-3743. PubMed ID: 36917260
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. Artificial Intelligence Evaluation of 122 969 Mammography Examinations from a Population-based Screening Program.
Larsen M; Aglen CF; Lee CI; Hoff SR; Lund-Hanssen H; Lång K; Nygård JF; Ursin G; Hofvind S
Radiology; 2022 Jun; 303(3):502-511. PubMed ID: 35348377
[TBL] [Abstract][Full Text] [Related]
7. AI Risk Score on Screening Mammograms Preceding Breast Cancer Diagnosis.
Larsen M; Olstad CF; Koch HW; Martiniussen MA; Hoff SR; Lund-Hanssen H; Solli HS; Mikalsen KØ; Auensen S; Nygård J; Lång K; Chen Y; Hofvind S
Radiology; 2023 Oct; 309(1):e230989. PubMed ID: 37847135
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. The effect of volumetric breast density on the risk of screen-detected and interval breast cancers: a cohort study.
Wanders JOP; Holland K; Karssemeijer N; Peeters PHM; Veldhuis WB; Mann RM; van Gils CH
Breast Cancer Res; 2017 Jun; 19(1):67. PubMed ID: 28583146
[TBL] [Abstract][Full Text] [Related]
11. Comparison of Qualitative and Volumetric Assessments of Breast Density and Analyses of Breast Compression Parameters and Breast Volume of Women in Bahcesehir Mammography Screening Project.
Gemici AA; Arıbal E; Özaydın AN; Gürdal SÖ; Özçınar B; Cabioğlu N; Özmen V
Eur J Breast Health; 2020 Apr; 16(2):110-116. PubMed ID: 32285032
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. Automated Volumetric Analysis of Mammographic Density in a Screening Setting: Worse Outcomes for Women with Dense Breasts.
Moshina N; Sebuødegård S; Lee CI; Akslen LA; Tsuruda KM; Elmore JG; Hofvind S
Radiology; 2018 Aug; 288(2):343-352. PubMed ID: 29944088
[TBL] [Abstract][Full Text] [Related]
15. Mammographic features and risk of breast cancer death among women with invasive screen-detected cancer in BreastScreen Norway 1996-2020.
Moshina N; Backmann HA; Skaane P; Hofvind S
Eur Radiol; 2024 May; 34(5):3364-3374. PubMed ID: 37935848
[TBL] [Abstract][Full Text] [Related]
16. Screening in Patients With Dense Breasts: Comparison of Mammography, Artificial Intelligence, and Supplementary Ultrasound.
Lee SE; Yoon JH; Son NH; Han K; Moon HJ
AJR Am J Roentgenol; 2024 Jan; 222(1):e2329655. PubMed ID: 37493324
[No Abstract] [Full Text] [Related]
17. Use of an AI Score Combining Cancer Signs, Masking, and Risk to Select Patients for Supplemental Breast Cancer Screening.
Liu Y; Sorkhei M; Dembrower K; Azizpour H; Strand F; Smith K
Radiology; 2024 Apr; 311(1):e232535. PubMed ID: 38591971
[TBL] [Abstract][Full Text] [Related]
18. Radiological review of prior screening mammograms of screen-detected breast cancer.
Hovda T; Tsuruda K; Hoff SR; Sahlberg KK; Hofvind S
Eur Radiol; 2021 Apr; 31(4):2568-2579. PubMed ID: 33001307
[TBL] [Abstract][Full Text] [Related]
19. Artificial Intelligence for Breast Cancer Detection on Mammography: Factors Related to Cancer Detection.
Yoen H; Jang MJ; Yi A; Moon WK; Chang JM
Acad Radiol; 2024 Jan; ():. PubMed ID: 38216413
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]