BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

202 related articles for article (PubMed ID: 36479610)

  • 1. Radiation therapist perceptions on how artificial intelligence may affect their role and practice.
    O'Shaughnessey J; Collins ML
    J Med Radiat Sci; 2023 Apr; 70 Suppl 2(Suppl 2):6-14. PubMed ID: 36479610
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Automation and artificial intelligence in radiation therapy treatment planning.
    Jones S; Thompson K; Porter B; Shepherd M; Sapkaroski D; Grimshaw A; Hargrave C
    J Med Radiat Sci; 2024 Jun; 71(2):290-298. PubMed ID: 37794690
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Investigating opinions of, and perceptions to, advanced practice radiation therapist roles.
    Hilder B; VanDam P; Doherty K
    J Med Imaging Radiat Sci; 2021 Jun; 52(2):198-206. PubMed ID: 33685844
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Perceptions of Canadian radiation oncologists, radiation physicists, radiation therapists and radiation trainees about the impact of artificial intelligence in radiation oncology - national survey.
    Wong K; Gallant F; Szumacher E
    J Med Imaging Radiat Sci; 2021 Mar; 52(1):44-48. PubMed ID: 33323332
    [TBL] [Abstract][Full Text] [Related]  

  • 5. The Impact of Artificial Intelligence and Machine Learning in Radiation Therapy: Considerations for Future Curriculum Enhancement.
    Chamunyonga C; Edwards C; Caldwell P; Rutledge P; Burbery J
    J Med Imaging Radiat Sci; 2020 Jun; 51(2):214-220. PubMed ID: 32115386
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Artificial Intelligence and the future of radiotherapy planning: The Australian radiation therapists prepare to be ready.
    Panettieri V; Gagliardi G
    J Med Radiat Sci; 2024 Jun; 71(2):174-176. PubMed ID: 38641984
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Radiography students' perceptions of artificial intelligence in medical imaging.
    Arruzza E
    J Med Imaging Radiat Sci; 2024 Jun; 55(2):258-263. PubMed ID: 38403517
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Cautiously optimistic: A survey of radiation oncology professionals' perceptions of automation in radiotherapy planning.
    Batumalai V; Jameson MG; King O; Walker R; Slater C; Dundas K; Dinsdale G; Wallis A; Ochoa C; Gray R; Vial P; Vinod SK
    Tech Innov Patient Support Radiat Oncol; 2020 Dec; 16():58-64. PubMed ID: 33251344
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Australian perspectives on artificial intelligence in medical imaging.
    Currie G; Nelson T; Hewis J; Chandler A; Spuur K; Nabasenja C; Thomas C; Wheat J
    J Med Radiat Sci; 2022 Sep; 69(3):282-292. PubMed ID: 35429129
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Africa's readiness for artificial intelligence in clinical radiotherapy delivery: Medical physicists to lead the way.
    Manson EN; Hasford F; Trauernicht C; Ige TA; Inkoom S; Inyang S; Samba O; Khelassi-Toutaoui N; Lazarus G; Sosu EK; Pokoo-Aikins M; Stoeva M
    Phys Med; 2023 Sep; 113():102653. PubMed ID: 37586146
    [TBL] [Abstract][Full Text] [Related]  

  • 13. National survey on the practice of radiation therapists in Australia.
    Sale C; Halkett G; Cox J
    J Med Radiat Sci; 2016 Jun; 63(2):104-13. PubMed ID: 27350890
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Healthcare professionals' experiences and perceptions of artificial intelligence in regional and rural health districts in Australia.
    Shinners L; Aggar C; Stephens A; Grace S
    Aust J Rural Health; 2023 Dec; 31(6):1203-1213. PubMed ID: 37795659
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Patient views on the implementation of artificial intelligence in radiotherapy.
    Temple S; Rowbottom C; Simpson J
    Radiography (Lond); 2023 May; 29 Suppl 1():S112-S116. PubMed ID: 36964044
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Artificial Intelligence for Radiotherapy Auto-Contouring: Current Use, Perceptions of and Barriers to Implementation.
    Hindocha S; Zucker K; Jena R; Banfill K; Mackay K; Price G; Pudney D; Wang J; Taylor A
    Clin Oncol (R Coll Radiol); 2023 Apr; 35(4):219-226. PubMed ID: 36725406
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Australian perspectives on artificial intelligence in veterinary practice.
    Currie G; Hespel AM; Carstens A
    Vet Radiol Ultrasound; 2023 May; 64(3):473-483. PubMed ID: 37022301
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Perceptions of Artificial Intelligence Integration into Dermatology Clinical Practice: A Cross-Sectional Survey Study.
    Wei C; Adusumilli N; Friedman A; Patel V
    J Drugs Dermatol; 2022 Feb; 21(2):135-140. PubMed ID: 35133109
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 11.