287 related articles for article (PubMed ID: 33604607)
21. Machine Learning and Deep Learning in Medical Imaging: Intelligent Imaging.
Currie G; Hawk KE; Rohren E; Vial A; Klein R
J Med Imaging Radiat Sci; 2019 Dec; 50(4):477-487. PubMed ID: 31601480
[TBL] [Abstract][Full Text] [Related]
22. [Radiomics-AI-based image analysis].
Demircioğlu A
Pathologe; 2019 Dec; 40(Suppl 3):271-276. PubMed ID: 31745604
[TBL] [Abstract][Full Text] [Related]
23. Artificial intelligence in medical imaging of the liver.
Zhou LQ; Wang JY; Yu SY; Wu GG; Wei Q; Deng YB; Wu XL; Cui XW; Dietrich CF
World J Gastroenterol; 2019 Feb; 25(6):672-682. PubMed ID: 30783371
[TBL] [Abstract][Full Text] [Related]
24. The present and future of deep learning in radiology.
Saba L; Biswas M; Kuppili V; Cuadrado Godia E; Suri HS; Edla DR; Omerzu T; Laird JR; Khanna NN; Mavrogeni S; Protogerou A; Sfikakis PP; Viswanathan V; Kitas GD; Nicolaides A; Gupta A; Suri JS
Eur J Radiol; 2019 May; 114():14-24. PubMed ID: 31005165
[TBL] [Abstract][Full Text] [Related]
25. Editorial for "Top 10 Reviewer Critiques of Radiology Artificial Intelligence (AI) Articles: Qualitative Thematic Analysis of Reviewer Critiques of Machine Learning / Deep Learning Manuscripts Submitted to JMRI".
Nencka AS
J Magn Reson Imaging; 2020 Jul; 52(1):255-256. PubMed ID: 31922318
[No Abstract] [Full Text] [Related]
26. Artificial intelligence in radiology: the ecosystem essential to improving patient care.
Sogani J; Allen B; Dreyer K; McGinty G
Clin Imaging; 2020 Jan; 59(1):A3-A6. PubMed ID: 31481284
[TBL] [Abstract][Full Text] [Related]
27. Artificial Intelligence, Augmented Reality, and Virtual Reality Advances and Applications in Interventional Radiology.
von Ende E; Ryan S; Crain MA; Makary MS
Diagnostics (Basel); 2023 Feb; 13(5):. PubMed ID: 36900036
[TBL] [Abstract][Full Text] [Related]
28. [Artificial intelligence in image analysis-fundamentals and new developments].
Pouly M; Koller T; Gottfrois P; Lionetti S
Hautarzt; 2020 Sep; 71(9):660-668. PubMed ID: 32789670
[TBL] [Abstract][Full Text] [Related]
29. Engineering and clinical use of artificial intelligence (AI) with machine learning and data science advancements: radiology leading the way for future.
Hameed BMZ; Prerepa G; Patil V; Shekhar P; Zahid Raza S; Karimi H; Paul R; Naik N; Modi S; Vigneswaran G; Prasad Rai B; Chłosta P; Somani BK
Ther Adv Urol; 2021; 13():17562872211044880. PubMed ID: 34567272
[TBL] [Abstract][Full Text] [Related]
30. Strengths, Weaknesses, Opportunities, and Threats Analysis of Artificial Intelligence and Machine Learning Applications in Radiology.
Martín Noguerol T; Paulano-Godino F; Martín-Valdivia MT; Menias CO; Luna A
J Am Coll Radiol; 2019 Sep; 16(9 Pt B):1239-1247. PubMed ID: 31492401
[TBL] [Abstract][Full Text] [Related]
31. Is Artificial Intelligence (AI) a Pipe Dream? Why Legal Issues Present Significant Hurdles to AI Autonomy.
Mezrich JL
AJR Am J Roentgenol; 2022 Jul; 219(1):152-156. PubMed ID: 35138133
[TBL] [Abstract][Full Text] [Related]
32. Interpretable Artificial Intelligence: Why and When.
Ghosh A; Kandasamy D
AJR Am J Roentgenol; 2020 May; 214(5):1137-1138. PubMed ID: 32130042
[No Abstract] [Full Text] [Related]
33. Artificial intelligence in diagnostic imaging: impact on the radiography profession.
Hardy M; Harvey H
Br J Radiol; 2020 Apr; 93(1108):20190840. PubMed ID: 31821024
[TBL] [Abstract][Full Text] [Related]
34. Bending the Artificial Intelligence Curve for Radiology: Informatics Tools From ACR and RSNA.
Kohli M; Alkasab T; Wang K; Heilbrun ME; Flanders AE; Dreyer K; Kahn CE
J Am Coll Radiol; 2019 Oct; 16(10):1464-1470. PubMed ID: 31319078
[TBL] [Abstract][Full Text] [Related]
35. Artificial Intelligence in Oncological Hybrid Imaging.
Feuerecker B; Heimer MM; Geyer T; Fabritius MP; Gu S; Schachtner B; Beyer L; Ricke J; Gatidis S; Ingrisch M; Cyran CC
Nuklearmedizin; 2023 Oct; 62(5):296-305. PubMed ID: 37802057
[TBL] [Abstract][Full Text] [Related]
36. Artificial Intelligence and Echocardiography: A Primer for Cardiac Sonographers.
Davis A; Billick K; Horton K; Jankowski M; Knoll P; Marshall JE; Paloma A; Palma R; Adams DB
J Am Soc Echocardiogr; 2020 Sep; 33(9):1061-1066. PubMed ID: 32536431
[TBL] [Abstract][Full Text] [Related]
37. Artificial intelligence and the radiologist: the future in the Armed Forces Medical Services.
Sen D; Chakrabarti R; Chatterjee S; Grewal DS; Manrai K
BMJ Mil Health; 2020 Aug; 166(4):254-256. PubMed ID: 30709922
[TBL] [Abstract][Full Text] [Related]
38. [Artificial intelligence (AI) in radiology? : Do we need as many radiologists in the future?].
Bonekamp D; Schlemmer HP
Urologe A; 2022 Apr; 61(4):392-399. PubMed ID: 35277758
[TBL] [Abstract][Full Text] [Related]
39. Deep learning in breast radiology: current progress and future directions.
Ou WC; Polat D; Dogan BE
Eur Radiol; 2021 Jul; 31(7):4872-4885. PubMed ID: 33449174
[TBL] [Abstract][Full Text] [Related]
40. Exploring the Role of Artificial Intelligence in an Emergency and Trauma Radiology Department.
Jalal S; Parker W; Ferguson D; Nicolaou S
Can Assoc Radiol J; 2021 Feb; 72(1):167-174. PubMed ID: 32309989
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
