BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

178 related articles for article (PubMed ID: 34888459)

  • 1. Artificial intelligence and the NHS: a qualitative exploration of the factors influencing adoption.
    Morrison K
    Future Healthc J; 2021 Nov; 8(3):e648-e654. PubMed ID: 34888459
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Unlocking the Potential: Investigating Dental Practitioners' Willingness to Embrace Artificial Intelligence in Dental Practice.
    Royapuram Parthasarathy P; Patil SR; Dawasaz AA; Hamid Baig FA; Karobari MI
    Cureus; 2024 Feb; 16(2):e55107. PubMed ID: 38558604
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Exploring the experiences and views of doctors working with Artificial Intelligence in English healthcare; a qualitative study.
    Ganapathi S; Duggal S
    PLoS One; 2023; 18(3):e0282415. PubMed ID: 36862694
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Implementation of artificial intelligence (AI) applications in radiology: hindering and facilitating factors.
    Strohm L; Hehakaya C; Ranschaert ER; Boon WPC; Moors EHM
    Eur Radiol; 2020 Oct; 30(10):5525-5532. PubMed ID: 32458173
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Medical practitioner perspectives on AI in emergency triage.
    Townsend BA; Plant KL; Hodge VJ; Ashaolu O; Calinescu R
    Front Digit Health; 2023; 5():1297073. PubMed ID: 38125759
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Theory of trust and acceptance of artificial intelligence technology (TrAAIT): An instrument to assess clinician trust and acceptance of artificial intelligence.
    Stevens AF; Stetson P
    J Biomed Inform; 2023 Dec; 148():104550. PubMed ID: 37981107
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Analyzing Barriers and Enablers for the Acceptance of Artificial Intelligence Innovations into Radiology Practice: A Scoping Review.
    Eltawil FA; Atalla M; Boulos E; Amirabadi A; Tyrrell PN
    Tomography; 2023 Jul; 9(4):1443-1455. PubMed ID: 37624108
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Experiences of using artificial intelligence in healthcare: a qualitative study of UK clinician and key stakeholder perspectives.
    Fazakarley CA; Breen M; Leeson P; Thompson B; Williamson V
    BMJ Open; 2023 Dec; 13(12):e076950. PubMed ID: 38081671
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Barriers and facilitators of artificial intelligence conception and implementation for breast imaging diagnosis in clinical practice: a scoping review.
    Lokaj B; Pugliese MT; Kinkel K; Lovis C; Schmid J
    Eur Radiol; 2024 Mar; 34(3):2096-2109. PubMed ID: 37658895
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Adopting Artificial Intelligence in Public Healthcare: The Effect of Social Power and Learning Algorithms.
    Sun TQ
    Int J Environ Res Public Health; 2021 Dec; 18(23):. PubMed ID: 34886404
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Perspective of Information Technology Decision Makers on Factors Influencing Adoption and Implementation of Artificial Intelligence Technologies in 40 German Hospitals: Descriptive Analysis.
    Weinert L; Müller J; Svensson L; Heinze O
    JMIR Med Inform; 2022 Jun; 10(6):e34678. PubMed ID: 35704378
    [TBL] [Abstract][Full Text] [Related]  

  • 13. AI in patient flow: applications of artificial intelligence to improve patient flow in NHS acute mental health inpatient units.
    Dawoodbhoy FM; Delaney J; Cecula P; Yu J; Peacock I; Tan J; Cox B
    Heliyon; 2021 May; 7(5):e06993. PubMed ID: 34036191
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Challenges to implementing artificial intelligence in healthcare: a qualitative interview study with healthcare leaders in Sweden.
    Petersson L; Larsson I; Nygren JM; Nilsen P; Neher M; Reed JE; Tyskbo D; Svedberg P
    BMC Health Serv Res; 2022 Jul; 22(1):850. PubMed ID: 35778736
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Insights from semi-structured interviews on integrating artificial intelligence in clinical chemistry laboratory practices.
    Jafri L; Farooqui AJ; Grant J; Omer U; Gale R; Ahmed S; Khan AH; Siddiqui I; Ghani F; Majid H
    BMC Med Educ; 2024 Feb; 24(1):170. PubMed ID: 38389053
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Acceptance, Barriers, and Facilitators to Implementing Artificial Intelligence-Based Decision Support Systems in Emergency Departments: Quantitative and Qualitative Evaluation.
    Fujimori R; Liu K; Soeno S; Naraba H; Ogura K; Hara K; Sonoo T; Ogura T; Nakamura K; Goto T
    JMIR Form Res; 2022 Jun; 6(6):e36501. PubMed ID: 35699995
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Barriers and facilitators to the adoption of artificial intelligence in radiation oncology: A New Zealand study.
    Victor Mugabe K
    Tech Innov Patient Support Radiat Oncol; 2021 Jun; 18():16-21. PubMed ID: 33981867
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Innovation in healthcare: leadership perceptions about the innovation characteristics of artificial intelligence-a qualitative interview study with healthcare leaders in Sweden.
    Neher M; Petersson L; Nygren JM; Svedberg P; Larsson I; Nilsen P
    Implement Sci Commun; 2023 Jul; 4(1):81. PubMed ID: 37464420
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Clinical use of artificial intelligence products for radiology in the Netherlands between 2020 and 2022.
    van Leeuwen KG; de Rooij M; Schalekamp S; van Ginneken B; Rutten MJCM
    Eur Radiol; 2024 Jan; 34(1):348-354. PubMed ID: 37515632
    [TBL] [Abstract][Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 9.