287 related articles for article (PubMed ID: 33604607)
1. ARTIFICIAL INTELLIGENCE AND DEEP LEARNING IN DIAGNOSTIC RADIOLOGY-IS THIS THE NEXT PHASE OF SCIENTIFIC AND TECHNOLOGICAL DEVELOPMENT?
Moores BM
Radiat Prot Dosimetry; 2021 Oct; 195(3-4):145-151. PubMed ID: 33604607
[TBL] [Abstract][Full Text] [Related]
2. Artificial intelligence in medical imaging.
Gore JC
Magn Reson Imaging; 2020 May; 68():A1-A4. PubMed ID: 31857130
[TBL] [Abstract][Full Text] [Related]
3. 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.
Gregory J; Welliver S; Chong J
J Magn Reson Imaging; 2020 Jul; 52(1):248-254. PubMed ID: 31943495
[TBL] [Abstract][Full Text] [Related]
4. Prime Time for Artificial Intelligence in Interventional Radiology.
Seah J; Boeken T; Sapoval M; Goh GS
Cardiovasc Intervent Radiol; 2022 Mar; 45(3):283-289. PubMed ID: 35031822
[TBL] [Abstract][Full Text] [Related]
5. Demystification of AI-driven medical image interpretation: past, present and future.
Savadjiev P; Chong J; Dohan A; Vakalopoulou M; Reinhold C; Paragios N; Gallix B
Eur Radiol; 2019 Mar; 29(3):1616-1624. PubMed ID: 30105410
[TBL] [Abstract][Full Text] [Related]
6. [Artificial Intelligence in Radiology - Definition, Potential and Challenges].
Baessler B
Praxis (Bern 1994); 2021 Jan; 110(1):48-53. PubMed ID: 33406927
[TBL] [Abstract][Full Text] [Related]
7. [Artificial intelligence in oncological radiology : A (p)review].
Bucher AM; Kleesiek J
Radiologe; 2021 Jan; 61(1):52-59. PubMed ID: 33346871
[TBL] [Abstract][Full Text] [Related]
8. Artificial intelligence applications for thoracic imaging.
Chassagnon G; Vakalopoulou M; Paragios N; Revel MP
Eur J Radiol; 2020 Feb; 123():108774. PubMed ID: 31841881
[TBL] [Abstract][Full Text] [Related]
9. Myths and facts about artificial intelligence: why machine- and deep-learning will not replace interventional radiologists.
Pesapane F; Tantrige P; Patella F; Biondetti P; Nicosia L; Ianniello A; Rossi UG; Carrafiello G; Ierardi AM
Med Oncol; 2020 Apr; 37(5):40. PubMed ID: 32246300
[TBL] [Abstract][Full Text] [Related]
10. Artificial intelligence 101 for veterinary diagnostic imaging.
Hespel AM; Zhang Y; Basran PS
Vet Radiol Ultrasound; 2022 Dec; 63 Suppl 1():817-827. PubMed ID: 36514230
[TBL] [Abstract][Full Text] [Related]
11. Canadian Association of Radiologists White Paper on Artificial Intelligence in Radiology.
Tang A; Tam R; Cadrin-Chênevert A; Guest W; Chong J; Barfett J; Chepelev L; Cairns R; Mitchell JR; Cicero MD; Poudrette MG; Jaremko JL; Reinhold C; Gallix B; Gray B; Geis R;
Can Assoc Radiol J; 2018 May; 69(2):120-135. PubMed ID: 29655580
[TBL] [Abstract][Full Text] [Related]
12. Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success.
Thrall JH; Li X; Li Q; Cruz C; Do S; Dreyer K; Brink J
J Am Coll Radiol; 2018 Mar; 15(3 Pt B):504-508. PubMed ID: 29402533
[TBL] [Abstract][Full Text] [Related]
13. Artificial Intelligence and Radiology in Singapore: Championing a New Age of Augmented Imaging for Unsurpassed Patient Care.
Liew CJ; Krishnaswamy P; Cheng LT; Tan CH; Poh AC; Lim TC
Ann Acad Med Singap; 2019 Jan; 48(1):16-24. PubMed ID: 30788490
[TBL] [Abstract][Full Text] [Related]
14. [Artificial Intelligence in radiology : What can be expected in the next few years?].
Haubold J
Radiologe; 2020 Jan; 60(1):64-69. PubMed ID: 31828383
[TBL] [Abstract][Full Text] [Related]
15. Artificial intelligence in gastrointestinal and hepatic imaging: past, present and future scopes.
Gandhi D; Garg T; Patel L; Elkassem AA; Bansal V; Smith A
Clin Imaging; 2022 Jul; 87():43-53. PubMed ID: 35487161
[TBL] [Abstract][Full Text] [Related]
16. Current challenges of implementing artificial intelligence in medical imaging.
Saw SN; Ng KH
Phys Med; 2022 Aug; 100():12-17. PubMed ID: 35714523
[TBL] [Abstract][Full Text] [Related]
17. Artificial Intelligence: Guidance for clinical imaging and therapeutic radiography professionals, a summary by the Society of Radiographers AI working group.
Malamateniou C; McFadden S; McQuinlan Y; England A; Woznitza N; Goldsworthy S; Currie C; Skelton E; Chu KY; Alware N; Matthews P; Hawkesford R; Tucker R; Town W; Matthew J; Kalinka C; O'Regan T
Radiography (Lond); 2021 Nov; 27(4):1192-1202. PubMed ID: 34420888
[TBL] [Abstract][Full Text] [Related]
18. Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement from the ACR, CAR, ESR, RANZCR and RSNA.
Brady AP; Allen B; Chong J; Kotter E; Kottler N; Mongan J; Oakden-Rayner L; Dos Santos DP; Tang A; Wald C; Slavotinek J
Radiol Artif Intell; 2024 Jan; 6(1):e230513. PubMed ID: 38251899
[TBL] [Abstract][Full Text] [Related]
19. Intelligent imaging: Applications of machine learning and deep learning in radiology.
Currie G; Rohren E
Vet Radiol Ultrasound; 2022 Dec; 63 Suppl 1():880-888. PubMed ID: 36514225
[TBL] [Abstract][Full Text] [Related]
20. Applications of Artificial Intelligence in Cardiology. The Future is Already Here.
Dorado-Díaz PI; Sampedro-Gómez J; Vicente-Palacios V; Sánchez PL
Rev Esp Cardiol (Engl Ed); 2019 Dec; 72(12):1065-1075. PubMed ID: 31611150
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]