405 related articles for article (PubMed ID: 36183619)
1. Artificial intelligence-based decision support system (AI-DSS) implementation in radiology residency: Introducing residents to AI in the clinical setting.
Shiang T; Garwood E; Debenedectis CM
Clin Imaging; 2022 Dec; 92():32-37. PubMed ID: 36183619
[TBL] [Abstract][Full Text] [Related]
2. Systematic Review of Radiology Residency Artificial Intelligence Curricula: Preparing Future Radiologists for the Artificial Intelligence Era.
Garin SP; Zhang V; Jeudy J; Parekh VS; Yi PH
J Am Coll Radiol; 2023 Jun; 20(6):561-569. PubMed ID: 37127217
[TBL] [Abstract][Full Text] [Related]
3. Artificial Intelligence/Machine Learning Education in Radiology: Multi-institutional Survey of Radiology Residents in the United States.
Salastekar NV; Maxfield C; Hanna TN; Krupinski EA; Heitkamp D; Grimm LJ
Acad Radiol; 2023 Jul; 30(7):1481-1487. PubMed ID: 36710101
[TBL] [Abstract][Full Text] [Related]
4. A framework to integrate artificial intelligence training into radiology residency programs: preparing the future radiologist.
van Kooten MJ; Tan CO; Hofmeijer EIS; van Ooijen PMA; Noordzij W; Lamers MJ; Kwee TC; Vliegenthart R; Yakar D
Insights Imaging; 2024 Jan; 15(1):15. PubMed ID: 38228800
[TBL] [Abstract][Full Text] [Related]
5. Attitudes toward artificial intelligence in radiology with learner needs assessment within radiology residency programmes: a national multi-programme survey.
Ooi SKG; Makmur A; Soon AYQ; Fook-Chong S; Liew C; Sia SY; Ting YH; Lim CY
Singapore Med J; 2021 Mar; 62(3):126-134. PubMed ID: 31680181
[TBL] [Abstract][Full Text] [Related]
6. AI-RADS: An Artificial Intelligence Curriculum for Residents.
Lindqwister AL; Hassanpour S; Lewis PJ; Sin JM
Acad Radiol; 2021 Dec; 28(12):1810-1816. PubMed ID: 33071185
[TBL] [Abstract][Full Text] [Related]
7. Artificial Intelligence and the Trainee Experience in Radiology.
Simpson SA; Cook TS
J Am Coll Radiol; 2020 Nov; 17(11):1388-1393. PubMed ID: 33010211
[TBL] [Abstract][Full Text] [Related]
8. Radiology Residents' Perceptions of Artificial Intelligence: Nationwide Cross-Sectional Survey Study.
Chen Y; Wu Z; Wang P; Xie L; Yan M; Jiang M; Yang Z; Zheng J; Zhang J; Zhu J
J Med Internet Res; 2023 Oct; 25():e48249. PubMed ID: 37856181
[TBL] [Abstract][Full Text] [Related]
9. Artificial Intelligence in Radiology Residency Training.
Forney MC; McBride AF
Semin Musculoskelet Radiol; 2020 Feb; 24(1):74-80. PubMed ID: 31991454
[TBL] [Abstract][Full Text] [Related]
10. An international survey on AI in radiology in 1041 radiologists and radiology residents part 2: expectations, hurdles to implementation, and education.
Huisman M; Ranschaert E; Parker W; Mastrodicasa D; Koci M; Pinto de Santos D; Coppola F; Morozov S; Zins M; Bohyn C; Koç U; Wu J; Veean S; Fleischmann D; Leiner T; Willemink MJ
Eur Radiol; 2021 Nov; 31(11):8797-8806. PubMed ID: 33974148
[TBL] [Abstract][Full Text] [Related]
11. Artificial Intelligence Curriculum Needs Assessment for a Pediatric Radiology Fellowship Program: What, How, and Why?
Velez-Florez MC; Ghosh A; Patton D; Sze R; Reid JR; Sotardi S
Acad Radiol; 2023 Feb; 30(2):349-358. PubMed ID: 35753935
[TBL] [Abstract][Full Text] [Related]
12. Comparison of Chest Radiograph Interpretations by Artificial Intelligence Algorithm vs Radiology Residents.
Wu JT; Wong KCL; Gur Y; Ansari N; Karargyris A; Sharma A; Morris M; Saboury B; Ahmad H; Boyko O; Syed A; Jadhav A; Wang H; Pillai A; Kashyap S; Moradi M; Syeda-Mahmood T
JAMA Netw Open; 2020 Oct; 3(10):e2022779. PubMed ID: 33034642
[TBL] [Abstract][Full Text] [Related]
13. Implications of Pediatric Artificial Intelligence Challenges for Artificial Intelligence Education and Curriculum Development.
Alkhulaifat D; Rafful P; Khalkhali V; Welsh M; Sotardi ST
J Am Coll Radiol; 2023 Aug; 20(8):724-729. PubMed ID: 37352995
[TBL] [Abstract][Full Text] [Related]
14. Results of the 2020 Survey of the American Alliance of Academic Chief Residents in Radiology.
Marquis KM; Hoegger MJ; Shetty AS; Bishop GL; Balthazar P; Gould JE; Ballard DH
Clin Imaging; 2023 Jun; 98():67-73. PubMed ID: 37023549
[TBL] [Abstract][Full Text] [Related]
15. A "Bumper-Car" Curriculum for Teaching Deep Learning to Radiology Residents
Richardson ML; Ojeda PI
Acad Radiol; 2022 May; 29(5):763-770. PubMed ID: 35379477
[TBL] [Abstract][Full Text] [Related]
16. Toward Augmented Radiologists: Changes in Radiology Education in the Era of Machine Learning and Artificial Intelligence.
Tajmir SH; Alkasab TK
Acad Radiol; 2018 Jun; 25(6):747-750. PubMed ID: 29599010
[TBL] [Abstract][Full Text] [Related]
17. The Role of Artificial Intelligence in Diagnostic Radiology: A Survey at a Single Radiology Residency Training Program.
Collado-Mesa F; Alvarez E; Arheart K
J Am Coll Radiol; 2018 Dec; 15(12):1753-1757. PubMed ID: 29477289
[TBL] [Abstract][Full Text] [Related]
18. The effect of an artificial intelligence algorithm on chest X-ray interpretation of radiology residents.
Pekçevik Y; Orbatu D; Güngör F; Yıldırım O; Yaşar E; Yimer MA; Şişman AR; Emiroğlu M; Dao L; Cohen JP; Sevinç S
Br J Radiol; 2022 Oct; 95(1139):20210688. PubMed ID: 36062807
[TBL] [Abstract][Full Text] [Related]
19. AI-RADS: Successes and challenges of a novel artificial intelligence curriculum for radiologists across different delivery formats.
Lindqwister AL; Hassanpour S; Levy J; Sin JM
Front Med Technol; 2022; 4():1007708. PubMed ID: 36688145
[TBL] [Abstract][Full Text] [Related]
20. Implementation of a Longitudinal Introduction to Radiology Course During Internship Year Improves Diagnostic Radiology Residents' Academic and Clinical Skills: A Canadian Experience.
Darras KE; Worthington A; Russell D; Hou DJ; Forster BB; Hague CJ; Mar C; Chang SD
Acad Radiol; 2016 Jul; 23(7):848-60. PubMed ID: 27178649
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
