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 *

921 related articles for article (PubMed ID: 28750903)

  • 1. Computing eye gaze metrics for the automatic assessment of radiographer performance during X-ray image interpretation.
    McLaughlin L; Bond R; Hughes C; McConnell J; McFadden S
    Int J Med Inform; 2017 Sep; 105():11-21. PubMed ID: 28750903
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Assessing computerized eye tracking technology for gaining insight into expert interpretation of the 12-lead electrocardiogram: an objective quantitative approach.
    Bond RR; Zhu T; Finlay DD; Drew B; Kligfield PD; Guldenring D; Breen C; Gallagher AG; Daly MJ; Clifford GD
    J Electrocardiol; 2014; 47(6):895-906. PubMed ID: 25110276
    [TBL] [Abstract][Full Text] [Related]  

  • 3. The Development of Expertise in Radiology: In Chest Radiograph Interpretation, "Expert" Search Pattern May Predate "Expert" Levels of Diagnostic Accuracy for Pneumothorax Identification.
    Kelly BS; Rainford LA; Darcy SP; Kavanagh EC; Toomey RJ
    Radiology; 2016 Jul; 280(1):252-60. PubMed ID: 27322975
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Holistic component of image perception in mammogram interpretation: gaze-tracking study.
    Kundel HL; Nodine CF; Conant EF; Weinstein SP
    Radiology; 2007 Feb; 242(2):396-402. PubMed ID: 17255410
    [TBL] [Abstract][Full Text] [Related]  

  • 5. How visual search relates to visual diagnostic performance: a narrative systematic review of eye-tracking research in radiology.
    van der Gijp A; Ravesloot CJ; Jarodzka H; van der Schaaf MF; van der Schaaf IC; van Schaik JPJ; Ten Cate TJ
    Adv Health Sci Educ Theory Pract; 2017 Aug; 22(3):765-787. PubMed ID: 27436353
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Radiographers' performance in chest X-ray interpretation: the Nigerian experience.
    Ekpo EU; Egbe NO; Akpan BE
    Br J Radiol; 2015 Jul; 88(1051):20150023. PubMed ID: 25966290
    [TBL] [Abstract][Full Text] [Related]  

  • 7. An evaluation of eye tracking technology in the assessment of 12 lead electrocardiography interpretation.
    Breen CJ; Bond R; Finlay D
    J Electrocardiol; 2014; 47(6):922-9. PubMed ID: 25200901
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Radiographers' Ability to Detect Low-Contrast Detail in Digital Radiography Systems.
    Alsleem H; Davidson R
    Radiol Technol; 2015; 87(1):29-37. PubMed ID: 26377266
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Novel training approach to improve a cohort of radiographers' image interpretation skills of trauma chest radiographs.
    Chilambe E; Muller H; du Plessis J
    J Med Imaging Radiat Sci; 2024 Jun; 55(2):244-257. PubMed ID: 38429173
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Impact of an educational intervention on eye gaze behaviour in retinal image interpretation by consultant and trainee ophthalmologists.
    Shirley K; Williams M; McLaughlin L; Parker N; Bond R
    Health Informatics J; 2020 Jun; 26(2):1419-1430. PubMed ID: 31630618
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Accuracy of radiographer comment following a two-month experiential and blended learning in appendicular skeleton X-ray interpretation: The Singapore experience.
    Del Gante E; Kumar M; McEntee M; Sng LH; Tan CYY; Yeo CWK; Sim WY; Ekpo E
    Radiography (Lond); 2021 Feb; 27(1):43-47. PubMed ID: 32540250
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Influence of Experience and Training on Dental Students' Examination Performance Regarding Panoramic Images.
    Turgeon DP; Lam EW
    J Dent Educ; 2016 Feb; 80(2):156-64. PubMed ID: 26834133
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Accuracy of radiographers in Fiji in interpreting adult chest X-ray images.
    Lata K; Keshwan R; Bramble M; Hughes C
    J Med Imaging Radiat Sci; 2022 Mar; 53(1):93-101. PubMed ID: 34961703
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Visual Interpretation of Plain Radiographs in Orthopaedics Using Eye-Tracking Technology.
    Hanley J; Warren D; Glass N; Tranel D; Karam M; Buckwalter J
    Iowa Orthop J; 2017; 37():225-231. PubMed ID: 28852362
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Radiologists' perceptions of knowledge and training required by radiographers in the interpretation of radiographic images: An explorative study in KwaZulu-Natal province, South Africa.
    Budhu R; Nkosi BP; Khoza TE
    J Med Imaging Radiat Sci; 2023 Sep; 54(3):457-464. PubMed ID: 37385913
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Eye-gaze driven surgical workflow segmentation.
    James A; Vieira D; Lo B; Darzi A; Yang GZ
    Med Image Comput Comput Assist Interv; 2007; 10(Pt 2):110-7. PubMed ID: 18044559
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Appearance-based gaze estimation using visual saliency.
    Sugano Y; Matsushita Y; Sato Y
    IEEE Trans Pattern Anal Mach Intell; 2013 Feb; 35(2):329-41. PubMed ID: 22547429
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Methods employed for chest radiograph interpretation education for radiographers: A systematic review of the literature.
    McLaughlin L; McConnell J; McFadden S; Bond R; Hughes C
    Radiography (Lond); 2017 Nov; 23(4):350-357. PubMed ID: 28965900
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The influence of a continuing education program on the image interpretation accuracy of rural radiographers.
    Smith TN; Traise P; Cook A
    Rural Remote Health; 2009; 9(2):1145. PubMed ID: 19392573
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Digital training platform for interpreting radiographic images of the chest.
    McLaughlin L; Woznitza N; Cairns A; McFadden SL; Bond R; Hughes CM; Elsayed A; Finlay D; McConnell J
    Radiography (Lond); 2018 May; 24(2):159-164. PubMed ID: 29605114
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 47.