BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

296 related articles for article (PubMed ID: 36115823)

  • 1. Singapore radiographers' perceptions and expectations of artificial intelligence - A qualitative study.
    Ng CT; Roslan SNA; Chng YH; Choong DAW; Chong AJL; Tay YX; Lança L; Chua EC
    J Med Imaging Radiat Sci; 2022 Dec; 53(4):554-563. PubMed ID: 36115823
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Knowledge, perceptions, and expectations of Artificial intelligence in radiography practice: A global radiography workforce survey.
    Akudjedu TN; Torre S; Khine R; Katsifarakis D; Newman D; Malamateniou C
    J Med Imaging Radiat Sci; 2023 Mar; 54(1):104-116. PubMed ID: 36535859
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Radiographers' knowledge, attitudes and expectations of artificial intelligence in medical imaging.
    Coakley S; Young R; Moore N; England A; O'Mahony A; O'Connor OJ; Maher M; McEntee MF
    Radiography (Lond); 2022 Nov; 28(4):943-948. PubMed ID: 35839662
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Nordic radiographers' and students' perspectives on artificial intelligence - A cross-sectional online survey.
    Pedersen MRV; Kusk MW; Lysdahlgaard S; Mork-Knudsen H; Malamateniou C; Jensen J
    Radiography (Lond); 2024 May; 30(3):776-783. PubMed ID: 38461583
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Beauty Is in the AI of the Beholder: Are We Ready for the Clinical Integration of Artificial Intelligence in Radiography? An Exploratory Analysis of Perceived AI Knowledge, Skills, Confidence, and Education Perspectives of UK Radiographers.
    Rainey C; O'Regan T; Matthew J; Skelton E; Woznitza N; Chu KY; Goodman S; McConnell J; Hughes C; Bond R; McFadden S; Malamateniou C
    Front Digit Health; 2021; 3():739327. PubMed ID: 34859245
    [No Abstract]   [Full Text] [Related]  

  • 6. An insight into the current perceptions of UK radiographers on the future impact of AI on the profession: A cross-sectional survey.
    Rainey C; O'Regan T; Matthew J; Skelton E; Woznitza N; Chu KY; Goodman S; McConnell J; Hughes C; Bond R; Malamateniou C; McFadden S
    J Med Imaging Radiat Sci; 2022 Sep; 53(3):347-361. PubMed ID: 35715359
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Navigating the ethical landscape of artificial intelligence in radiography: a cross-sectional study of radiographers' perspectives.
    Aldhafeeri FM
    BMC Med Ethics; 2024 May; 25(1):52. PubMed ID: 38734602
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Radiographers' perspectives on the emerging integration of artificial intelligence into diagnostic imaging: The Ghana study.
    Botwe BO; Antwi WK; Arkoh S; Akudjedu TN
    J Med Radiat Sci; 2021 Sep; 68(3):260-268. PubMed ID: 33586361
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Assessing radiologists' and radiographers' perceptions on artificial intelligence integration: opportunities and challenges.
    Al Mohammad B; Aldaradkeh A; Gharaibeh M; Reed W
    Br J Radiol; 2024 Mar; 97(1156):763-769. PubMed ID: 38273675
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The integration of artificial intelligence in medical imaging practice: Perspectives of African radiographers.
    Botwe BO; Akudjedu TN; Antwi WK; Rockson P; Mkoloma SS; Balogun EO; Elshami W; Bwambale J; Barare C; Mdletshe S; Yao B; Arkoh S
    Radiography (Lond); 2021 Aug; 27(3):861-866. PubMed ID: 33622574
    [TBL] [Abstract][Full Text] [Related]  

  • 11. AI implementation in the UK landscape: Knowledge of AI governance, perceived challenges and opportunities, and ways forward for radiographers.
    Stogiannos N; O'Regan T; Scurr E; Litosseliti L; Pogose M; Harvey H; Kumar A; Malik R; Barnes A; McEntee MF; Malamateniou C
    Radiography (Lond); 2024 Mar; 30(2):612-621. PubMed ID: 38325103
    [TBL] [Abstract][Full Text] [Related]  

  • 12. UK reporting radiographers' perceptions of AI in radiographic image interpretation - Current perspectives and future developments.
    Rainey C; O'Regan T; Matthew J; Skelton E; Woznitza N; Chu KY; Goodman S; McConnell J; Hughes C; Bond R; Malamateniou C; McFadden S
    Radiography (Lond); 2022 Nov; 28(4):881-888. PubMed ID: 35780627
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Artificial intelligence: The opinions of radiographers and radiation therapists in Ireland.
    Ryan ML; O'Donovan T; McNulty JP
    Radiography (Lond); 2021 Oct; 27 Suppl 1():S74-S82. PubMed ID: 34454835
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Artificial intelligence in medical imaging practice in Africa: a qualitative content analysis study of radiographers' perspectives.
    Antwi WK; Akudjedu TN; Botwe BO
    Insights Imaging; 2021 Jun; 12(1):80. PubMed ID: 34132910
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Changing the model of radiography practice: Challenges of role advancement and future needs for radiographers working in the UAE.
    Elshami W; Abuzaid MM; McConnell J; Baird M
    Radiography (Lond); 2022 Nov; 28(4):949-954. PubMed ID: 35841689
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Radiographers' experiences and perspectives of forensic imaging in Australia: A qualitative study.
    Smith B; Makanjee CR; Lee H; Hayre CM; Lewis S
    Radiography (Lond); 2022 Nov; 28(4):1110-1115. PubMed ID: 36095880
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Professionals' responses to the introduction of AI innovations in radiology and their implications for future adoption: a qualitative study.
    Chen Y; Stavropoulou C; Narasinkan R; Baker A; Scarbrough H
    BMC Health Serv Res; 2021 Aug; 21(1):813. PubMed ID: 34389014
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Assessment of the Willingness of Radiologists and Radiographers to Accept the Integration of Artificial Intelligence Into Radiology Practice.
    Abuzaid MM; Elshami W; Tekin H; Issa B
    Acad Radiol; 2022 Jan; 29(1):87-94. PubMed ID: 33129659
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Workplace factors facilitating the radiographers' assessment of referrals for diagnostic imaging - A qualitative study.
    Mork-Knudsen H; Lysdahl KB; Chilanga CC
    Radiography (Lond); 2022 Feb; 28(1):24-30. PubMed ID: 34364785
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.