171 related articles for article (PubMed ID: 37847135)
1. 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]
2. 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]
3. 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]
4. 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]
5. 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]
6. 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]
7. 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]
8. 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]
9. 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]
10. 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]
11. Assessing Breast Cancer Risk by Combining AI for Lesion Detection and Mammographic Texture.
Lauritzen AD; von Euler-Chelpin MC; Lynge E; Vejborg I; Nielsen M; Karssemeijer N; Lillholm M
Radiology; 2023 Aug; 308(2):e230227. PubMed ID: 37642571
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. 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]
15. Novel mammographic image features differentiate between interval and screen-detected breast cancer: a case-case study.
Strand F; Humphreys K; Cheddad A; Törnberg S; Azavedo E; Shepherd J; Hall P; Czene K
Breast Cancer Res; 2016 Oct; 18(1):100. PubMed ID: 27716311
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. 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]
18. 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]
19. Breast Cancers Detected at Screening MR Imaging and Mammography in Patients at High Risk: Method of Detection Reflects Tumor Histopathologic Results.
Sung JS; Stamler S; Brooks J; Kaplan J; Huang T; Dershaw DD; Lee CH; Morris EA; Comstock CE
Radiology; 2016 Sep; 280(3):716-22. PubMed ID: 27097237
[TBL] [Abstract][Full Text] [Related]
20. Evaluation of an AI Model to Assess Future Breast Cancer Risk.
Damiani C; Kalliatakis G; Sreenivas M; Al-Attar M; Rose J; Pudney C; Lane EF; Cuzick J; Montana G; Brentnall AR
Radiology; 2023 Jun; 307(5):e222679. PubMed ID: 37310244
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
