587 related articles for article (PubMed ID: 36341574)
1. Assessment of Radiology Artificial Intelligence Software: A Validation and Evaluation Framework.
Tanguay W; Acar P; Fine B; Abdolell M; Gong B; Cadrin-Chênevert A; Chartrand-Lefebvre C; Chalaoui J; Gorgos A; Chin AS; Prénovault J; Guilbert F; Létourneau-Guillon L; Chong J; Tang A
Can Assoc Radiol J; 2023 May; 74(2):326-333. PubMed ID: 36341574
[TBL] [Abstract][Full Text] [Related]
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;
Can Assoc Radiol J; 2018 May; 69(2):120-135. PubMed ID: 29655580
[TBL] [Abstract][Full Text] [Related]
3. Clinical use of artificial intelligence products for radiology in the Netherlands between 2020 and 2022.
van Leeuwen KG; de Rooij M; Schalekamp S; van Ginneken B; Rutten MJCM
Eur Radiol; 2024 Jan; 34(1):348-354. PubMed ID: 37515632
[TBL] [Abstract][Full Text] [Related]
4. 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;
Can Assoc Radiol J; 2019 May; 70(2):107-118. PubMed ID: 30962048
[TBL] [Abstract][Full Text] [Related]
5. Ethics and standards in the use of artificial intelligence in medicine on behalf of the Royal Australian and New Zealand College of Radiologists.
Kenny LM; Nevin M; Fitzpatrick K
J Med Imaging Radiat Oncol; 2021 Aug; 65(5):486-494. PubMed ID: 34342139
[TBL] [Abstract][Full Text] [Related]
6. Implementation of artificial intelligence (AI) applications in radiology: hindering and facilitating factors.
Strohm L; Hehakaya C; Ranschaert ER; Boon WPC; Moors EHM
Eur Radiol; 2020 Oct; 30(10):5525-5532. PubMed ID: 32458173
[TBL] [Abstract][Full Text] [Related]
7. Artificial Intelligence: A Private Practice Perspective.
Kottler N
J Am Coll Radiol; 2020 Nov; 17(11):1398-1404. PubMed ID: 33010212
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. DECIDE-AI: a new reporting guideline and its relevance to artificial intelligence studies in radiology.
Vasey B; Novak A; Ather S; Ibrahim M; McCulloch P
Clin Radiol; 2023 Feb; 78(2):130-136. PubMed ID: 36639172
[TBL] [Abstract][Full Text] [Related]
10. Workflow Applications of Artificial Intelligence in Radiology and an Overview of Available Tools.
Kapoor N; Lacson R; Khorasani R
J Am Coll Radiol; 2020 Nov; 17(11):1363-1370. PubMed ID: 33153540
[TBL] [Abstract][Full Text] [Related]
11. To buy or not to buy-evaluating commercial AI solutions in radiology (the ECLAIR guidelines).
Omoumi P; Ducarouge A; Tournier A; Harvey H; Kahn CE; Louvet-de Verchère F; Pinto Dos Santos D; Kober T; Richiardi J
Eur Radiol; 2021 Jun; 31(6):3786-3796. PubMed ID: 33666696
[TBL] [Abstract][Full Text] [Related]
12. Artificial intelligence in diagnostic and interventional radiology: Where are we now?
Boeken T; Feydy J; Lecler A; Soyer P; Feydy A; Barat M; Duron L
Diagn Interv Imaging; 2023 Jan; 104(1):1-5. PubMed ID: 36494290
[TBL] [Abstract][Full Text] [Related]
13. Deploying Artificial Intelligence for Thoracic Imaging Around the World.
Singh S; Elahi A; Schweitzer A; Adekanmi A; Atalabi O; Mollura DJ; Dako F
J Am Coll Radiol; 2023 Sep; 20(9):859-862. PubMed ID: 37488027
[TBL] [Abstract][Full Text] [Related]
14. Integrating artificial intelligence into the clinical practice of radiology: challenges and recommendations.
Recht MP; Dewey M; Dreyer K; Langlotz C; Niessen W; Prainsack B; Smith JJ
Eur Radiol; 2020 Jun; 30(6):3576-3584. PubMed ID: 32064565
[TBL] [Abstract][Full Text] [Related]
15. Cybersecurity considerations for radiology departments involved with artificial intelligence.
Kelly BS; Quinn C; Belton N; Lawlor A; Killeen RP; Burrell J
Eur Radiol; 2023 Dec; 33(12):8833-8841. PubMed ID: 37418025
[TBL] [Abstract][Full Text] [Related]
16. A Practical Guide for AI Algorithm Selection for the Radiology Department.
Forghani R
Semin Roentgenol; 2023 Apr; 58(2):208-213. PubMed ID: 37087142
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. The role of artificial intelligence in clinical imaging and workflows.
Wilson DU; Bailey MQ; Craig J
Vet Radiol Ultrasound; 2022 Dec; 63 Suppl 1():897-902. PubMed ID: 36514227
[TBL] [Abstract][Full Text] [Related]
19. Thoracic Radiologists' Versus Computer Scientists' Perspectives on the Future of Artificial Intelligence in Radiology.
Eltorai AEM; Bratt AK; Guo HH
J Thorac Imaging; 2020 Jul; 35(4):255-259. PubMed ID: 31609778
[TBL] [Abstract][Full Text] [Related]
20. Stakeholders' perspectives on the future of artificial intelligence in radiology: a scoping review.
Yang L; Ene IC; Arabi Belaghi R; Koff D; Stein N; Santaguida PL
Eur Radiol; 2022 Mar; 32(3):1477-1495. PubMed ID: 34545445
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]