467 related articles for article (PubMed ID: 30601029)
1. Artificial Intelligence for Breast MRI in 2008-2018: A Systematic Mapping Review.
Codari M; Schiaffino S; Sardanelli F; Trimboli RM
AJR Am J Roentgenol; 2019 Feb; 212(2):280-292. PubMed ID: 30601029
[TBL] [Abstract][Full Text] [Related]
2. Artificial Intelligence in Breast Imaging: Potentials and Limitations.
Mendelson EB
AJR Am J Roentgenol; 2019 Feb; 212(2):293-299. PubMed ID: 30422715
[TBL] [Abstract][Full Text] [Related]
3. An artificial intelligence system using maximum intensity projection MR images facilitates classification of non-mass enhancement breast lesions.
Wang L; Chang L; Luo R; Cui X; Liu H; Wu H; Chen Y; Zhang Y; Wu C; Li F; Liu H; Guan W; Wang D
Eur Radiol; 2022 Jul; 32(7):4857-4867. PubMed ID: 35258676
[TBL] [Abstract][Full Text] [Related]
4. A Systematic Review and Bibliometric Analysis of Applications of Artificial Intelligence and Machine Learning in Vascular Surgery.
Javidan AP; Li A; Lee MH; Forbes TL; Naji F
Ann Vasc Surg; 2022 Sep; 85():395-405. PubMed ID: 35339595
[TBL] [Abstract][Full Text] [Related]
5. Artificial intelligence in the interpretation of breast cancer on MRI.
Sheth D; Giger ML
J Magn Reson Imaging; 2020 May; 51(5):1310-1324. PubMed ID: 31343790
[TBL] [Abstract][Full Text] [Related]
6. What Are the Applications and Limitations of Artificial Intelligence for Fracture Detection and Classification in Orthopaedic Trauma Imaging? A Systematic Review.
Langerhuizen DWG; Janssen SJ; Mallee WH; van den Bekerom MPJ; Ring D; Kerkhoffs GMMJ; Jaarsma RL; Doornberg JN
Clin Orthop Relat Res; 2019 Nov; 477(11):2482-2491. PubMed ID: 31283727
[TBL] [Abstract][Full Text] [Related]
7. Current Status and Future Perspectives of Artificial Intelligence in Magnetic Resonance Breast Imaging.
Meyer-Bäse A; Morra L; Meyer-Bäse U; Pinker K
Contrast Media Mol Imaging; 2020; 2020():6805710. PubMed ID: 32934610
[TBL] [Abstract][Full Text] [Related]
8. Barriers and facilitators of artificial intelligence conception and implementation for breast imaging diagnosis in clinical practice: a scoping review.
Lokaj B; Pugliese MT; Kinkel K; Lovis C; Schmid J
Eur Radiol; 2024 Mar; 34(3):2096-2109. PubMed ID: 37658895
[TBL] [Abstract][Full Text] [Related]
9. The discerning influence of dynamic contrast-enhanced MRI in anticipating molecular subtypes of breast cancer through the artistry of artificial intelligence - a narrative review.
Ameen A; Shaikh K; Khan A; Vohra LM
J Pak Med Assoc; 2024 Apr; 74(4 (Supple-4)):S72-S78. PubMed ID: 38712412
[TBL] [Abstract][Full Text] [Related]
10. Clinical applications of deep learning in breast MRI.
Zhao X; Bai JW; Guo Q; Ren K; Zhang GJ
Biochim Biophys Acta Rev Cancer; 2023 Mar; 1878(2):188864. PubMed ID: 36822377
[TBL] [Abstract][Full Text] [Related]
11. Current and emerging artificial intelligence applications for pediatric abdominal imaging.
Dillman JR; Somasundaram E; Brady SL; He L
Pediatr Radiol; 2022 Oct; 52(11):2139-2148. PubMed ID: 33844048
[TBL] [Abstract][Full Text] [Related]
12. Updates in Artificial Intelligence for Breast Imaging.
Bahl M
Semin Roentgenol; 2022 Apr; 57(2):160-167. PubMed ID: 35523530
[TBL] [Abstract][Full Text] [Related]
13. Clinical Artificial Intelligence Applications: Breast Imaging.
Hu Q; Giger ML
Radiol Clin North Am; 2021 Nov; 59(6):1027-1043. PubMed ID: 34689871
[TBL] [Abstract][Full Text] [Related]
14. Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy.
Avanzo M; Porzio M; Lorenzon L; Milan L; Sghedoni R; Russo G; Massafra R; Fanizzi A; Barucci A; Ardu V; Branchini M; Giannelli M; Gallio E; Cilla S; Tangaro S; Lombardi A; Pirrone G; De Martin E; Giuliano A; Belmonte G; Russo S; Rampado O; Mettivier G
Phys Med; 2021 Mar; 83():221-241. PubMed ID: 33951590
[TBL] [Abstract][Full Text] [Related]
15. Artificial intelligence in digital breast pathology: Techniques and applications.
Ibrahim A; Gamble P; Jaroensri R; Abdelsamea MM; Mermel CH; Chen PC; Rakha EA
Breast; 2020 Feb; 49():267-273. PubMed ID: 31935669
[TBL] [Abstract][Full Text] [Related]
16. Evaluation of radiological features for breast tumour classification in clinical screening with machine learning methods.
Nattkemper TW; Arnrich B; Lichte O; Timm W; Degenhard A; Pointon L; Hayes C; Leach MO;
Artif Intell Med; 2005 Jun; 34(2):129-39. PubMed ID: 15894177
[TBL] [Abstract][Full Text] [Related]
17. 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 Apr; ():. PubMed ID: 38581127
[TBL] [Abstract][Full Text] [Related]
18. AI-enhanced breast imaging: Where are we and where are we heading?
Bitencourt A; Daimiel Naranjo I; Lo Gullo R; Rossi Saccarelli C; Pinker K
Eur J Radiol; 2021 Sep; 142():109882. PubMed ID: 34392105
[TBL] [Abstract][Full Text] [Related]
19. Role of Artificial Intelligence Applications in Real-Life Clinical Practice: Systematic Review.
Yin J; Ngiam KY; Teo HH
J Med Internet Res; 2021 Apr; 23(4):e25759. PubMed ID: 33885365
[TBL] [Abstract][Full Text] [Related]
20. Emerging artificial intelligence applications in liver magnetic resonance imaging.
Hill CE; Biasiolli L; Robson MD; Grau V; Pavlides M
World J Gastroenterol; 2021 Oct; 27(40):6825-6843. PubMed ID: 34790009
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]