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 *

308 related articles for article (PubMed ID: 35429129)

  • 1. 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]  

  • 2. 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]  

  • 3. Intelligent imaging: Applications of machine learning and deep learning in radiology.
    Currie G; Rohren E
    Vet Radiol Ultrasound; 2022 Dec; 63 Suppl 1():880-888. PubMed ID: 36514225
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Intelligent Imaging in Nuclear Medicine: the Principles of Artificial Intelligence, Machine Learning and Deep Learning.
    Currie G; Rohren E
    Semin Nucl Med; 2021 Mar; 51(2):102-111. PubMed ID: 33509366
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8. 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]  

  • 9. 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]  

  • 10. 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]  

  • 11. 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]  

  • 12. Ethical and Legal Challenges of Artificial Intelligence in Nuclear Medicine.
    Currie G; Hawk KE
    Semin Nucl Med; 2021 Mar; 51(2):120-125. PubMed ID: 33509368
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Empowering PET: harnessing deep learning for improved clinical insight.
    Artesani A; Bruno A; Gelardi F; Chiti A
    Eur Radiol Exp; 2024 Feb; 8(1):17. PubMed ID: 38321340
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Artificial Intelligence and Machine Learning in Nuclear Medicine: Future Perspectives.
    Seifert R; Weber M; Kocakavuk E; Rischpler C; Kersting D
    Semin Nucl Med; 2021 Mar; 51(2):170-177. PubMed ID: 33509373
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Artificial Intelligence in Nuclear Medicine.
    Nensa F; Demircioglu A; Rischpler C
    J Nucl Med; 2019 Sep; 60(Suppl 2):29S-37S. PubMed ID: 31481587
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Assessment of MRI technologists in acceptance and willingness to integrate artificial intelligence into practice.
    Abuzaid MM; Tekin HO; Reza M; Elhag IR; Elshami W
    Radiography (Lond); 2021 Oct; 27 Suppl 1():S83-S87. PubMed ID: 34364784
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Application of artificial intelligence in brain molecular imaging.
    Minoshima S; Cross D
    Ann Nucl Med; 2022 Feb; 36(2):103-110. PubMed ID: 35028878
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. 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]  

  • 20. The transformational potential of molecular radiomics.
    Currie G; Hawk KE; Rohren E
    J Med Radiat Sci; 2023 Apr; 70 Suppl 2(Suppl 2):77-88. PubMed ID: 36238997
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 16.