These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
222 related articles for article (PubMed ID: 38249158)
21. New Approaches and Recommendations for Risk-Adapted Breast Cancer Screening. Tsarouchi MI; Hoxhaj A; Mann RM J Magn Reson Imaging; 2023 Oct; 58(4):987-1010. PubMed ID: 37040474 [TBL] [Abstract][Full Text] [Related]
22. 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]
23. 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]
24. AI Applications to Breast MRI: Today and Tomorrow. Lo Gullo R; Brunekreef J; Marcus E; Han LK; Eskreis-Winkler S; Thakur SB; Mann R; Groot Lipman K; Teuwen J; Pinker K J Magn Reson Imaging; 2024 Dec; 60(6):2290-2308. PubMed ID: 38581127 [TBL] [Abstract][Full Text] [Related]
25. Artificial Intelligence in Breast Cancer Diagnosis and Personalized Medicine. Ahn JS; Shin S; Yang SA; Park EK; Kim KH; Cho SI; Ock CY; Kim S J Breast Cancer; 2023 Oct; 26(5):405-435. PubMed ID: 37926067 [TBL] [Abstract][Full Text] [Related]
26. Radiomic and Artificial Intelligence Analysis with Textural Metrics Extracted by Contrast-Enhanced Mammography and Dynamic Contrast Magnetic Resonance Imaging to Detect Breast Malignant Lesions. Fusco R; Di Bernardo E; Piccirillo A; Rubulotta MR; Petrosino T; Barretta ML; Mattace Raso M; Vallone P; Raiano C; Di Giacomo R; Siani C; Avino F; Scognamiglio G; Di Bonito M; Granata V; Petrillo A Curr Oncol; 2022 Mar; 29(3):1947-1966. PubMed ID: 35323359 [No Abstract] [Full Text] [Related]
27. 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]
28. Personalized risk prediction for breast cancer pre-screening using artificial intelligence and thermal radiomics. Kakileti ST; Madhu HJ; Manjunath G; Wee L; Dekker A; Sampangi S Artif Intell Med; 2020 May; 105():101854. PubMed ID: 32505418 [TBL] [Abstract][Full Text] [Related]
29. Deep Learning-Based Artificial Intelligence for Mammography. Yoon JH; Kim EK Korean J Radiol; 2021 Aug; 22(8):1225-1239. PubMed ID: 33987993 [TBL] [Abstract][Full Text] [Related]
30. Expanding Horizons: The Realities of CAD, the Promise of Artificial Intelligence, and Machine Learning's Role in Breast Imaging beyond Screening Mammography. Retson TA; Eghtedari M Diagnostics (Basel); 2023 Jun; 13(13):. PubMed ID: 37443526 [TBL] [Abstract][Full Text] [Related]
31. 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]
32. Artificial intelligence in mammographic phenotyping of breast cancer risk: a narrative review. Gastounioti A; Desai S; Ahluwalia VS; Conant EF; Kontos D Breast Cancer Res; 2022 Feb; 24(1):14. PubMed ID: 35184757 [TBL] [Abstract][Full Text] [Related]
33. Using deep learning to assist readers during the arbitration process: a lesion-based retrospective evaluation of breast cancer screening performance. Kerschke L; Weigel S; Rodriguez-Ruiz A; Karssemeijer N; Heindel W Eur Radiol; 2022 Feb; 32(2):842-852. PubMed ID: 34383147 [TBL] [Abstract][Full Text] [Related]
34. Mammography diagnosis of breast cancer screening through machine learning: a systematic review and meta-analysis. Liu J; Lei J; Ou Y; Zhao Y; Tuo X; Zhang B; Shen M Clin Exp Med; 2023 Oct; 23(6):2341-2356. PubMed ID: 36242643 [TBL] [Abstract][Full Text] [Related]
35. Mammography with deep learning for breast cancer detection. Wang L Front Oncol; 2024; 14():1281922. PubMed ID: 38410114 [TBL] [Abstract][Full Text] [Related]
36. Artificial intelligence - based ultrasound elastography for disease evaluation - a narrative review. Zhang XY; Wei Q; Wu GG; Tang Q; Pan XF; Chen GQ; Zhang D; Dietrich CF; Cui XW Front Oncol; 2023; 13():1197447. PubMed ID: 37333814 [TBL] [Abstract][Full Text] [Related]
37. History of Mammography: Analysis of Breast Imaging Diagnostic Achievements over the Last Century. Nicosia L; Gnocchi G; Gorini I; Venturini M; Fontana F; Pesapane F; Abiuso I; Bozzini AC; Pizzamiglio M; Latronico A; Abbate F; Meneghetti L; Battaglia O; Pellegrino G; Cassano E Healthcare (Basel); 2023 May; 11(11):. PubMed ID: 37297735 [TBL] [Abstract][Full Text] [Related]
38. 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]
39. How Radiomics Can Improve Breast Cancer Diagnosis and Treatment. Pesapane F; De Marco P; Rapino A; Lombardo E; Nicosia L; Tantrige P; Rotili A; Bozzini AC; Penco S; Dominelli V; Trentin C; Ferrari F; Farina M; Meneghetti L; Latronico A; Abbate F; Origgi D; Carrafiello G; Cassano E J Clin Med; 2023 Feb; 12(4):. PubMed ID: 36835908 [TBL] [Abstract][Full Text] [Related]