These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

217 related articles for article (PubMed ID: 36939823)

  • 1. Changes in Radiology Due to Artificial Intelligence That Can Attract Medical Students to the Specialty.
    Liu DS; Abu-Shaban K; Halabi SS; Cook TS
    JMIR Med Educ; 2023 Mar; 9():e43415. PubMed ID: 36939823
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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. PubMed ID: 30424998
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Impact of the Rise of Artificial Intelligence in Radiology: What Do Students Think?
    Barreiro-Ares A; Morales-Santiago A; Sendra-Portero F; Souto-Bayarri M
    Int J Environ Res Public Health; 2023 Jan; 20(2):. PubMed ID: 36674348
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Artificial intelligence in radiology: does it impact medical students preference for radiology as their future career?
    Bin Dahmash A; Alabdulkareem M; Alfutais A; Kamel AM; Alkholaiwi F; Alshehri S; Al Zahrani Y; Almoaiqel M
    BJR Open; 2020; 2(1):20200037. PubMed ID: 33367198
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Dear Medical Students - Artificial Intelligence is Not Taking Away a Radiologist's Job.
    Murugesan A; Patel S; Viswanathan VS; Bhargava P; Faraji N
    Curr Probl Diagn Radiol; 2023; 52(1):1-5. PubMed ID: 36115775
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Radiology as a Specialty in the Era of Artificial Intelligence: A Systematic Review and Meta-analysis on Medical Students, Radiology Trainees, and Radiologists.
    Hassankhani A; Amoukhteh M; Valizadeh P; Jannatdoust P; Sabeghi P; Gholamrezanezhad A
    Acad Radiol; 2024 Jan; 31(1):306-321. PubMed ID: 37349157
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Medical Students' Perspectives on Artificial Intelligence in Radiology: The Current Understanding and Impact on Radiology as a Future Specialty Choice.
    Alamer A
    Curr Med Imaging; 2023; 19(8):921-930. PubMed ID: 36082861
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Medical Student Perspectives on the Impact of Artificial Intelligence on the Practice of Medicine.
    Park CJ; Yi PH; Siegel EL
    Curr Probl Diagn Radiol; 2021; 50(5):614-619. PubMed ID: 32680632
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The Impact of Artificial Intelligence on the Preference of Radiology as a Future Specialty Among Medical Students at Jazan University, Saudi Arabia: A Cross-Sectional Study.
    Hakami KM; Alameer M; Jaawna E; Sudi A; Bahkali B; Mohammed A; Hakami A; Mahfouz MS; Alhazmi AH; Dhayihi TM
    Cureus; 2023 Jul; 15(7):e41840. PubMed ID: 37575874
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Medical students' attitude towards artificial intelligence: a multicentre survey.
    Pinto Dos Santos D; Giese D; Brodehl S; Chon SH; Staab W; Kleinert R; Maintz D; Baeßler B
    Eur Radiol; 2019 Apr; 29(4):1640-1646. PubMed ID: 29980928
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Systematic Review of Radiologist and Medical Student Attitudes on the Role and Impact of AI in Radiology.
    Santomartino SM; Yi PH
    Acad Radiol; 2022 Nov; 29(11):1748-1756. PubMed ID: 35105524
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Impact of artificial intelligence on US medical students' choice of radiology.
    Reeder K; Lee H
    Clin Imaging; 2022 Jan; 81():67-71. PubMed ID: 34619566
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Impact of artificial intelligence on the choice of radiology as a specialty by medical students from the city of São Paulo.
    Brandes GIG; D'Ippolito G; Azzolini AG; Meirelles G
    Radiol Bras; 2020; 53(3):167-170. PubMed ID: 32587424
    [TBL] [Abstract][Full Text] [Related]  

  • 14. The Impact of Emerging Technologies on Residency Selection by Medical Students in 2017 and 2021, With a Focus on Diagnostic Radiology.
    Atalay MK; Baird GL; Stib MT; George P; Oueidat K; Cronan JJ
    Acad Radiol; 2023 Jun; 30(6):1181-1188. PubMed ID: 36058817
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A survey on the future of radiology among radiologists, medical students and surgeons: Students and surgeons tend to be more skeptical about artificial intelligence and radiologists may fear that other disciplines take over.
    van Hoek J; Huber A; Leichtle A; Härmä K; Hilt D; von Tengg-Kobligk H; Heverhagen J; Poellinger A
    Eur J Radiol; 2019 Dec; 121():108742. PubMed ID: 31734640
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Interventional radiology and artificial intelligence in radiology: Is it time to enhance the vision of our medical students?
    Auloge P; Garnon J; Robinson JM; Dbouk S; Sibilia J; Braun M; Vanpee D; Koch G; Cazzato RL; Gangi A
    Insights Imaging; 2020 Nov; 11(1):127. PubMed ID: 33252702
    [TBL] [Abstract][Full Text] [Related]  

  • 17. How will "democratization of artificial intelligence" change the future of radiologists?
    Kobayashi Y; Ishibashi M; Kobayashi H
    Jpn J Radiol; 2019 Jan; 37(1):9-14. PubMed ID: 30578448
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Medical students' perceptions of the impact of artificial intelligence in radiology.
    Caparrós Galán G; Sendra Portero F
    Radiologia (Engl Ed); 2022; 64(6):516-524. PubMed ID: 36402537
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 11.