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 *

209 related articles for article (PubMed ID: 36479610)

  • 41. Interventional cardiologists' perspectives and knowledge towards artificial intelligence.
    Alexandrou M; Rempakos A; Mutlu D; Al Ogaili A; Rangan BV; Mastrodemos OC; Voudris K; Milkas A; Burke MN; Sandoval Y; Chatzizisis YS; Siontis KC; Brilakis ES
    J Invasive Cardiol; 2024 Aug; 36(8):. PubMed ID: 38598250
    [TBL] [Abstract][Full Text] [Related]  

  • 42. Revolutionising dental technologies: a qualitative study on dental technicians' perceptions of Artificial intelligence integration.
    Lin GSS; Ng YS; Ghani NRNA; Chua KH
    BMC Oral Health; 2023 Sep; 23(1):690. PubMed ID: 37749537
    [TBL] [Abstract][Full Text] [Related]  

  • 43. 2020 ACR Data Science Institute Artificial Intelligence Survey.
    Allen B; Agarwal S; Coombs L; Wald C; Dreyer K
    J Am Coll Radiol; 2021 Aug; 18(8):1153-1159. PubMed ID: 33891859
    [TBL] [Abstract][Full Text] [Related]  

  • 44. 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]  

  • 45. Artificial intelligence and the medical physics profession - A Swedish perspective.
    Andersson J; Nyholm T; Ceberg C; Almén A; Bernhardt P; Fransson A; Olsson LE
    Phys Med; 2021 Aug; 88():218-225. PubMed ID: 34304045
    [TBL] [Abstract][Full Text] [Related]  

  • 46. A Nationwide Web-Based Survey of Neuroradiologists' Perceptions of Artificial Intelligence Software for Neuro-Applications in Korea.
    Choi H; Sunwoo L; Cho SJ; Baik SH; Bae YJ; Choi BS; Jung C; Kim JH
    Korean J Radiol; 2023 May; 24(5):454-464. PubMed ID: 37133213
    [TBL] [Abstract][Full Text] [Related]  

  • 47. What Works Where and How for Uptake and Impact of Artificial Intelligence in Pathology: Review of Theories for a Realist Evaluation.
    King H; Wright J; Treanor D; Williams B; Randell R
    J Med Internet Res; 2023 Apr; 25():e38039. PubMed ID: 37093631
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Overview of artificial intelligence-based applications in radiotherapy: Recommendations for implementation and quality assurance.
    Vandewinckele L; Claessens M; Dinkla A; Brouwer C; Crijns W; Verellen D; van Elmpt W
    Radiother Oncol; 2020 Dec; 153():55-66. PubMed ID: 32920005
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Artificial intelligence in medicine: A comprehensive survey of medical doctor's perspectives in Portugal.
    Pedro AR; Dias MB; Laranjo L; Cunha AS; Cordeiro JV
    PLoS One; 2023; 18(9):e0290613. PubMed ID: 37676884
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Current and potential applications of artificial intelligence in medical imaging practice: A narrative review.
    Potočnik J; Foley S; Thomas E
    J Med Imaging Radiat Sci; 2023 Jun; 54(2):376-385. PubMed ID: 37062603
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Exploring perceptions of healthcare technologies enabled by artificial intelligence: an online, scenario-based survey.
    Antes AL; Burrous S; Sisk BA; Schuelke MJ; Keune JD; DuBois JM
    BMC Med Inform Decis Mak; 2021 Jul; 21(1):221. PubMed ID: 34284756
    [TBL] [Abstract][Full Text] [Related]  

  • 52. 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]  

  • 53. Radiation therapists' and radiation oncology medical physicists' perceptions of work and the working environment in Australia: a qualitative study.
    Halkett GKB; McKay J; Hegney DG; Breen LJ; Berg M; Ebert MA; Davis M; Kearvell R
    Eur J Cancer Care (Engl); 2017 Sep; 26(5):. PubMed ID: 27147506
    [TBL] [Abstract][Full Text] [Related]  

  • 54. The Emergence of Artificial Intelligence within Radiation Oncology Treatment Planning.
    Netherton TJ; Cardenas CE; Rhee DJ; Court LE; Beadle BM
    Oncology; 2021; 99(2):124-134. PubMed ID: 33352552
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Evaluation of pediatric ophthalmologists' perspectives of artificial intelligence in ophthalmology.
    Valikodath NG; Al-Khaled T; Cole E; Ting DSW; Tu EY; Campbell JP; Chiang MF; Hallak JA; Chan RVP
    J AAPOS; 2021 Jun; 25(3):164.e1-164.e5. PubMed ID: 34087473
    [TBL] [Abstract][Full Text] [Related]  

  • 56. 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]  

  • 57. Artificial intelligence in radiation oncology: A specialty-wide disruptive transformation?
    Thompson RF; Valdes G; Fuller CD; Carpenter CM; Morin O; Aneja S; Lindsay WD; Aerts HJWL; Agrimson B; Deville C; Rosenthal SA; Yu JB; Thomas CR
    Radiother Oncol; 2018 Dec; 129(3):421-426. PubMed ID: 29907338
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Radiation therapists' perceptions of participating in Professional Supervision - a pilot study.
    Dungey G; Thomson S; Lopez PR
    J Med Radiat Sci; 2024 Sep; ():. PubMed ID: 39245909
    [TBL] [Abstract][Full Text] [Related]  

  • 59. National Cancer Institute Workshop on Artificial Intelligence in Radiation Oncology: Training the Next Generation.
    Kang J; Thompson RF; Aneja S; Lehman C; Trister A; Zou J; Obcemea C; El Naqa I
    Pract Radiat Oncol; 2021; 11(1):74-83. PubMed ID: 32544635
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Needs Assessment Survey Identifying Research Processes Which may be Improved by Automation or Artificial Intelligence: ICU Community Modeling and Artificial Intelligence to Improve Efficiency (ICU-Comma).
    Lau VI; Binnie A; Basmaji J; Baig N; Opgenorth D; Cameron S; O'Hearn K; McDonald E; Senaratne J; Sligl W; Zuege DJ; Rewa O; Bagshaw SM; Tsang J
    J Intensive Care Med; 2022 Oct; 37(10):1296-1304. PubMed ID: 34898324
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.