331 related articles for article (PubMed ID: 33058789)
1. Artificial Intelligence in Screening Mammography: A Population Survey of Women's Preferences.
Ongena YP; Yakar D; Haan M; Kwee TC
J Am Coll Radiol; 2021 Jan; 18(1 Pt A):79-86. PubMed ID: 33058789
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. Use of artificial intelligence for image analysis in breast cancer screening programmes: systematic review of test accuracy.
Freeman K; Geppert J; Stinton C; Todkill D; Johnson S; Clarke A; Taylor-Phillips S
BMJ; 2021 Sep; 374():n1872. PubMed ID: 34470740
[TBL] [Abstract][Full Text] [Related]
5. Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms.
Schaffter T; Buist DSM; Lee CI; Nikulin Y; Ribli D; Guan Y; Lotter W; Jie Z; Du H; Wang S; Feng J; Feng M; Kim HE; Albiol F; Albiol A; Morrell S; Wojna Z; Ahsen ME; Asif U; Jimeno Yepes A; Yohanandan S; Rabinovici-Cohen S; Yi D; Hoff B; Yu T; Chaibub Neto E; Rubin DL; Lindholm P; Margolies LR; McBride RB; Rothstein JH; Sieh W; Ben-Ari R; Harrer S; Trister A; Friend S; Norman T; Sahiner B; Strand F; Guinney J; Stolovitzky G; ; Mackey L; Cahoon J; Shen L; Sohn JH; Trivedi H; Shen Y; Buturovic L; Pereira JC; Cardoso JS; Castro E; Kalleberg KT; Pelka O; Nedjar I; Geras KJ; Nensa F; Goan E; Koitka S; Caballero L; Cox DD; Krishnaswamy P; Pandey G; Friedrich CM; Perrin D; Fookes C; Shi B; Cardoso Negrie G; Kawczynski M; Cho K; Khoo CS; Lo JY; Sorensen AG; Jung H
JAMA Netw Open; 2020 Mar; 3(3):e200265. PubMed ID: 32119094
[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. 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]
8. 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]
9. Women's perceptions and attitudes to the use of AI in breast cancer screening: a survey in a cancer referral centre.
Pesapane F; Rotili A; Valconi E; Agazzi GM; Montesano M; Penco S; Nicosia L; Bozzini A; Meneghetti L; Latronico A; Pizzamiglio M; Rossero E; Gaeta A; Raimondi S; Pizzoli SFM; Grasso R; Carrafiello G; Pravettoni G; Cassano E
Br J Radiol; 2023 Jan; 96(1141):20220569. PubMed ID: 36314388
[TBL] [Abstract][Full Text] [Related]
10. Population-wide evaluation of artificial intelligence and radiologist assessment of screening mammograms.
Kühl J; Elhakim MT; Stougaard SW; Rasmussen BSB; Nielsen M; Gerke O; Larsen LB; Graumann O
Eur Radiol; 2024 Jun; 34(6):3935-3946. PubMed ID: 37938386
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Radiologist Preferences for Artificial Intelligence-Based Decision Support During Screening Mammography Interpretation.
Hendrix N; Lowry KP; Elmore JG; Lotter W; Sorensen G; Hsu W; Liao GJ; Parsian S; Kolb S; Naeim A; Lee CI
J Am Coll Radiol; 2022 Oct; 19(10):1098-1110. PubMed ID: 35970474
[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. Use of Artificial Intelligence for Reducing Unnecessary Recalls at Screening Mammography: A Simulation Study.
Kim YS; Jang MJ; Lee SH; Kim SY; Ha SM; Kwon BR; Moon WK; Chang JM
Korean J Radiol; 2022 Dec; 23(12):1241-1250. PubMed ID: 36447412
[TBL] [Abstract][Full Text] [Related]
15. Differences and similarities in false interpretations by AI CAD and radiologists in screening mammography.
Salim M; Dembrower K; Eklund M; Smith K; Strand F
Br J Radiol; 2023 Nov; 96(1151):20230210. PubMed ID: 37660400
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Artificial intelligence (AI) to enhance breast cancer screening: protocol for population-based cohort study of cancer detection.
Marinovich ML; Wylie E; Lotter W; Pearce A; Carter SM; Lund H; Waddell A; Kim JG; Pereira GF; Lee CI; Zackrisson S; Brennan M; Houssami N
BMJ Open; 2022 Jan; 12(1):e054005. PubMed ID: 34980622
[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. 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]
20. Improving the Performance of Radiologists Using Artificial Intelligence-Based Detection Support Software for Mammography: A Multi-Reader Study.
Lee JH; Kim KH; Lee EH; Ahn JS; Ryu JK; Park YM; Shin GW; Kim YJ; Choi HY
Korean J Radiol; 2022 May; 23(5):505-516. PubMed ID: 35434976
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
