Literature DB >> 21896562

The early clinical x-ray in the United States: patient experiences and public perceptions.

Matthew Lavine1.   

Abstract

The first x-ray machines were large, loud, sparking, smelly, and ostentatious devices, prone to mishap and injury even when fully under the control of the physicians who, in droves, invested money and prestige in them. Their bizarre and sometimes overwhelming presentation in the clinic reinforced the contemporary public understanding of x-rays as fantastically potent yet ambiguously helpful. As one of the icons of the new scientific medicine, x-rays bore much of the public's expectations for a technological panacea, a belief that was reinforced by the spectacle of their generation and their undeniable effect on the body. A quarter century later, refinement of the technology had made irradiation safer and more effective, but also made the operation of the machines themselves almost undetectable. This "domestication" of x-ray machines underscored their failure as a modern-day heroic medicine, while reinforcing an emergent understanding of radiation as a subtle, cumulative, and insidious threat.

Entities:  

Mesh:

Year:  2011        PMID: 21896562     DOI: 10.1093/jhmas/jrr047

Source DB:  PubMed          Journal:  J Hist Med Allied Sci        ISSN: 0022-5045            Impact factor:   2.088


  5 in total

1.  Whole body imaging in the diagnosis of blunt trauma, ionizing radiation hazards and residual risk.

Authors:  J P Kepros; R C Opreanu; R Samaraweera; A Briningstool; C A Morrison; B D Mosher; P Schneider; P Stevens
Journal:  Eur J Trauma Emerg Surg       Date:  2012-07-12       Impact factor: 3.693

2.  EARLY CLINICAL USE OF THE X-RAY.

Authors:  Joel D Howell
Journal:  Trans Am Clin Climatol Assoc       Date:  2016

Review 3.  Integrating nanomedicine into clinical radiotherapy regimens.

Authors:  Allison N DuRoss; Megan J Neufeld; Shushan Rana; Charles R Thomas; Conroy Sun
Journal:  Adv Drug Deliv Rev       Date:  2019-07-04       Impact factor: 15.470

4.  A lightweight deep learning architecture for the automatic detection of pneumonia using chest X-ray images.

Authors:  Megha Trivedi; Abhishek Gupta
Journal:  Multimed Tools Appl       Date:  2021-12-27       Impact factor: 2.577

5.  Impact of Artificial Intelligence on Medical Education in Ophthalmology.

Authors:  Nita G Valikodath; Emily Cole; Daniel S W Ting; J Peter Campbell; Louis R Pasquale; Michael F Chiang; R V Paul Chan
Journal:  Transl Vis Sci Technol       Date:  2021-06-01       Impact factor: 3.283

  5 in total

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