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Items: 1 to 20 of 94

1.

A Practical Guide to Artificial Intelligence-Based Image Analysis in Radiology.

Weikert T, Cyriac J, Yang S, Nesic I, Parmar V, Stieltjes B.

Invest Radiol. 2019 Sep 9. doi: 10.1097/RLI.0000000000000600. [Epub ahead of print]

PMID:
31503083
2.

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; Canadian Association of Radiologists (CAR) Artificial Intelligence Working Group.

Can Assoc Radiol J. 2018 May;69(2):120-135. doi: 10.1016/j.carj.2018.02.002. Epub 2018 Apr 11. Review.

3.

Artificial intelligence in radiology.

Hosny A, Parmar C, Quackenbush J, Schwartz LH, Aerts HJWL.

Nat Rev Cancer. 2018 Aug;18(8):500-510. doi: 10.1038/s41568-018-0016-5. Review.

4.

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. doi: 10.1016/j.jacr.2019.05.047.

PMID:
31492401
5.

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 Singapore. 2019 Jan;48(1):16-24. Review.

6.

The past, present and future role of artificial intelligence in imaging.

Fazal MI, Patel ME, Tye J, Gupta Y.

Eur J Radiol. 2018 Aug;105:246-250. doi: 10.1016/j.ejrad.2018.06.020. Epub 2018 Jun 22. Review.

PMID:
30017288
7.

What the radiologist should know about artificial intelligence - an ESR white paper.

European Society of Radiology (ESR).

Insights Imaging. 2019 Apr 4;10(1):44. doi: 10.1186/s13244-019-0738-2.

8.

Artificial Intelligence in Radiology: Current Technology and Future Directions.

Syed AB, Zoga AC.

Semin Musculoskelet Radiol. 2018 Nov;22(5):540-545. doi: 10.1055/s-0038-1673383. Epub 2018 Nov 6. Review.

PMID:
30399618
9.

Artificial Intelligence and Radiology: A Social Media Perspective.

Goldberg JE, Rosenkrantz AB.

Curr Probl Diagn Radiol. 2019 Jul - Aug;48(4):308-311. doi: 10.1067/j.cpradiol.2018.07.005. Epub 2018 Jul 23.

PMID:
30143386
10.

Canadian Association of Radiologists White Paper on Ethical and Legal Issues Related to Artificial Intelligence in Radiology.

Jaremko JL, Azar M, Bromwich R, Lum A, Alicia Cheong LH, Gibert M, Laviolette F, Gray B, Reinhold C, Cicero M, Chong J, Shaw J, Rybicki FJ, Hurrell C, Lee E, Tang A; Canadian Association of Radiologists (CAR) Artificial Intelligence Working Group.

Can Assoc Radiol J. 2019 May;70(2):107-118. doi: 10.1016/j.carj.2019.03.001. Epub 2019 Apr 5. Review.

11.

Artificial intelligence for precision education in radiology.

Duong MT, Rauschecker AM, Rudie JD, Chen PH, Cook TS, Bryan RN, Mohan S.

Br J Radiol. 2019 Jul 26:20190389. doi: 10.1259/bjr.20190389. [Epub ahead of print]

PMID:
31322909
12.

Artificial intelligence and medical imaging 2018: French Radiology Community white paper.

SFR-IA Group; CERF; French Radiology Community.

Diagn Interv Imaging. 2018 Nov;99(11):727-742. doi: 10.1016/j.diii.2018.10.003. Epub 2018 Nov 22. Review.

PMID:
30470627
13.

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. doi: 10.1016/j.jacr.2017.12.026. Epub 2018 Feb 4.

PMID:
29402533
14.

Impact of the rise of artificial intelligence in radiology: What do radiologists think?

Waymel Q, Badr S, Demondion X, Cotten A, Jacques T.

Diagn Interv Imaging. 2019 Jun;100(6):327-336. doi: 10.1016/j.diii.2019.03.015. Epub 2019 May 6.

PMID:
31072803
15.

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. doi: 10.1007/s00330-018-5674-x. Epub 2018 Aug 13. Review.

PMID:
30105410
16.

Artificial Intelligence May Cause a Significant Disruption to the Radiology Workforce.

Mazurowski MA.

J Am Coll Radiol. 2019 Aug;16(8):1077-1082. doi: 10.1016/j.jacr.2019.01.026. Epub 2019 Apr 8.

PMID:
30975611
17.

Using Artificial Intelligence to Revise ACR TI-RADS Risk Stratification of Thyroid Nodules: Diagnostic Accuracy and Utility.

Wildman-Tobriner B, Buda M, Hoang JK, Middleton WD, Thayer D, Short RG, Tessler FN, Mazurowski MA.

Radiology. 2019 Jul;292(1):112-119. doi: 10.1148/radiol.2019182128. Epub 2019 May 21.

PMID:
31112088
18.

Influence of Artificial Intelligence on Canadian Medical Students' Preference for Radiology Specialty: ANational Survey Study.

Gong B, Nugent JP, Guest W, Parker W, Chang PJ, Khosa F, Nicolaou S.

Acad Radiol. 2019 Apr;26(4):566-577. doi: 10.1016/j.acra.2018.10.007. Epub 2018 Nov 11.

PMID:
30424998
19.

Global Trend in Artificial Intelligence-Based Publications in Radiology From 2000 to 2018.

West E, Mutasa S, Zhu Z, Ha R.

AJR Am J Roentgenol. 2019 Aug 15:1-3. doi: 10.2214/AJR.19.21346. [Epub ahead of print]

PMID:
31414886
20.

Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine.

Pesapane F, Codari M, Sardanelli F.

Eur Radiol Exp. 2018 Oct 24;2(1):35. doi: 10.1186/s41747-018-0061-6. Review.

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