538 related articles for article (PubMed ID: 32119094)
1. 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]
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. 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]
4. 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]
5. 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]
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. External Validation of an Ensemble Model for Automated Mammography Interpretation by Artificial Intelligence.
Hsu W; Hippe DS; Nakhaei N; Wang PC; Zhu B; Siu N; Ahsen ME; Lotter W; Sorensen AG; Naeim A; Buist DSM; Schaffter T; Guinney J; Elmore JG; Lee CI
JAMA Netw Open; 2022 Nov; 5(11):e2242343. PubMed ID: 36409497
[TBL] [Abstract][Full Text] [Related]
8. Performance of artificial intelligence in 7533 consecutive prevalent screening mammograms from the BreastScreen Australia program.
Waugh J; Evans J; Miocevic M; Lockie D; Aminzadeh P; Lynch A; Bell RJ
Eur Radiol; 2024 Jun; 34(6):3947-3957. PubMed ID: 37955669
[TBL] [Abstract][Full Text] [Related]
9. Effect of artificial intelligence-based computer-aided diagnosis on the screening outcomes of digital mammography: a matched cohort study.
Kim H; Choi JS; Kim K; Ko ES; Ko EY; Han BK
Eur Radiol; 2023 Oct; 33(10):7186-7198. PubMed ID: 37188881
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
12. 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]
13. 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]
14. Evaluation of the Combination of Artificial Intelligence and Radiologist Assessments to Interpret Malignant Architectural Distortion on Mammography.
Wan Y; Tong Y; Liu Y; Huang Y; Yao G; Chen DQ; Liu B
Front Oncol; 2022; 12():880150. PubMed ID: 35515107
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. 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]
17. 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]
18. Artificial Intelligence for Reducing Workload in Breast Cancer Screening with Digital Breast Tomosynthesis.
Shoshan Y; Bakalo R; Gilboa-Solomon F; Ratner V; Barkan E; Ozery-Flato M; Amit M; Khapun D; Ambinder EB; Oluyemi ET; Panigrahi B; DiCarlo PA; Rosen-Zvi M; Mullen LA
Radiology; 2022 Apr; 303(1):69-77. PubMed ID: 35040677
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Effect of radiologists' diagnostic work-up volume on interpretive performance.
Buist DS; Anderson ML; Smith RA; Carney PA; Miglioretti DL; Monsees BS; Sickles EA; Taplin SH; Geller BM; Yankaskas BC; Onega TL
Radiology; 2014 Nov; 273(2):351-64. PubMed ID: 24960110
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]