Academic literature on the topic 'Radiologic technologists'

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Journal articles on the topic "Radiologic technologists"

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de Bijl, N. P. Y. M., F. J. H. M. van den Biggelaar, and J. M. A. van Engelshoven. "Pre-Reading Mammograms by Specialised Breast Technologists: Legal Implications for Technologist and Radiologist in the Netherlands." European Journal of Health Law 16, no. 3 (2009): 271–79. http://dx.doi.org/10.1163/157180909x453080.

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AbstractThis paper focuses on the legal implications in terms of duties and responsibilities for radiologists and radiologic technologists of independent pre-reading of mammograms by radiologic technologists, so patients could be discharged without being seen by a radiologist. Pre-reading could be effectuated when preconditions are met to perform reserved procedures by unauthorised professionals as stated in the Individual Health Care Professions (IHCP) Act. Furthermore, compliance with a protocol or code of conduct in combination with adequate training and supervision should be sufficient to disprove potential claims. For a wide implementation, pre-reading should be well-embedded in legal rules and should answer the professional standard of care.
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Leonard, Morton H. "Mammography for Radiologic Technologists." Radiology 187, no. 1 (April 1993): 74. http://dx.doi.org/10.1148/radiology.187.1.74.

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Makkawi, Mohammed, Sultan Alasmari, Nasser A. Shubayr, Yazeed I. Alashban, Nashwa H. Eisa, and Hussain A. Khairy. "Radiologic technologists in Saudi Arabia." Saudi Medical Journal 42, no. 8 (August 2021): 913–17. http://dx.doi.org/10.15537/smj.2021.42.8.20210171.

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Swift, M. "Breast cancer among radiologic technologists." JAMA: The Journal of the American Medical Association 276, no. 5 (August 7, 1996): 369–70. http://dx.doi.org/10.1001/jama.276.5.369.

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Boice, J. D. "Breast cancer among radiologic technologists." JAMA: The Journal of the American Medical Association 274, no. 5 (August 2, 1995): 394–401. http://dx.doi.org/10.1001/jama.274.5.394.

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Boice, John D. "Breast Cancer Among Radiologic Technologists." JAMA: The Journal of the American Medical Association 274, no. 5 (August 2, 1995): 394. http://dx.doi.org/10.1001/jama.1995.03530050042030.

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Swift, M., M. B. Daly, L. Bernstein, and S. M. Love. "Breast Cancer Among Radiologic Technologists." JAMA: The Journal of the American Medical Association 276, no. 5 (August 7, 1996): 369. http://dx.doi.org/10.1001/jama.1996.03540050029009.

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Boice, John D., Jack S. Mandel, Michele Morin Doody, R. Craig Yoder, and Roland McGowan Bsrt. "A health survey of radiologic technologists." Cancer 69, no. 2 (January 15, 1992): 586–98. http://dx.doi.org/10.1002/1097-0142(19920115)69:2<586::aid-cncr2820690251>3.0.co;2-3.

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Boice, J. D., M. M. Doody, and J. S. Mandel. "Breast Cancer Among Radiologic Technologists-Reply." JAMA: The Journal of the American Medical Association 276, no. 5 (August 7, 1996): 369–70. http://dx.doi.org/10.1001/jama.1996.03540050029010.

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Seitzman, Robin L., JoAnn Pushkin, and Wendie A. Berg. "Radiologic Technologist and Radiologist Knowledge Gaps about Breast Density Revealed by an Online Continuing Education Course." Journal of Breast Imaging 2, no. 4 (July 2020): 315–29. http://dx.doi.org/10.1093/jbi/wbaa039.

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Abstract Objective We sought to identify provider knowledge gaps and their predictors, as revealed by a breast density continuing education course marketed to the radiology community. Methods The course, continually available online during the study period of November 2, 2016 and December 31, 2018, includes demographics collection; a monograph on breast density, breast cancer risk, and screening; and a post-test. Four post-test questions were modified during the study period, resulting in different sample sizes pre- and postmodification. Multiple logistic regression was used to identify predictors of knowledge gaps (defined as &gt; 25% of responses incorrect). Results Of 1649 analyzable registrants, 1363 (82.7%) were radiologic technologists, 226 (13.7%) were physicians, and 60 (3.6%) were other nonphysicians; over 90% of physicians and over 90% of technologists/nonphysicians specialized in radiology. Sixteen of 49 physicians (32.7%) and 80/233 (34.3%) technologists/nonphysicians mistakenly thought the Gail model should be used to determine “high-risk” status for recommending MRI or genetic testing. Ninety-nine of 226 (43.8%) physicians and 682/1423 (47.9%) technologists/nonphysicians misunderstood the inverse relationship between increasing age and lifetime breast cancer risk. Fifty-two of 166 (31.3%) physicians and 549/1151 (47.7%) technologists/nonphysicians were unaware that MRI should be recommended for women with a family history of BRCA1/BRCA2 mutations. Tomosynthesis effectiveness was overestimated, with 18/60 (30.0%) physicians and 95/272 (34.9%) technologists/nonphysicians believing sensitivity nearly equaled MRI. Knowledge gaps were more common in technologists/nonphysicians. Conclusions Important knowledge gaps about breast density, breast cancer risk assessment, and screening exist among radiologic technologists and radiologists. Continued education efforts may improve appropriate breast cancer screening recommendations.
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Dissertations / Theses on the topic "Radiologic technologists"

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Rutz, Anne C. "Relationships among various cognitive, and noncognitive variables with the performance of radiologic technology students /." free to MU campus, to others for purchase, 2002. http://wwwlib.umi.com/cr/mo/fullcit?p3052214.

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Tavel, Jason S. "Spontaneous Abortions Among U.S. Occupationally Exposed Radiologic Technologists." VCU Scholars Compass, 2016. http://scholarscompass.vcu.edu/etd/4584.

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Introduction Radiologic Technologists exposed to continuous low dose radiation may have an increased risk for spontaneous abortions. Although the federally mandated radiation dose limit to the developing fetus of an occupational worker is 5mSv, well below the documented threshold of 100mSv, some studies have suggested an increased risk for spontaneous abortions in occupationally exposed females. The effects of exposure to low levels of radiation are difficult to discern from the usual occurrence and are limited in the literature because of the large sample size needed to achieve statistical power. This study contains data from 152,439 self-reported pregnancies and possesses the appropriate sample size to assess the risk of spontaneous abortions incident to radiologic technologists who maintain fetal radiation dose levels within federal guidelines. Methods This non-experimental retrospective designed study uses data from the United States Radiologic Technologist Study (USRTS). The USRTS began in 1982 as a joint effort between the American Registry of Radiologic Technologists (ARRT),UniversityofMinnesotaand the National Cancer Institute to study the radiation effects from low-dose occupational exposure. This longitudinal study follows more than 90,000 current and former technologists through periodic surveys and contains a sufficient sample size to overcome statistical power concerns. The provided data included the order and outcome of each self-reported pregnancy as well as the year of each live birth. The data were therefore manipulated to provide a likely gestational interval for both a reported live birth and spontaneous abortion. After calculating the spontaneous abortion rate for the final sample, a binary logistic regression was performed to determine if levels of estimated fetal radiation dose are associated with predicting the odds of a reported spontaneous abortion. A linear regression analysis was then performed to assess the relationship between the calculated odds ratios of a reported spontaneous abortion as a function of estimated fetal radiation dose, specifically to determine the significance of the linear relationship Results The overall spontaneous abortion incidence to the cohort reporting at least one live birth or spontaneous abortion was 14.8%, lower than the reported national incidence of 15-20%. Using up to 1mSv as the reference fetal radiation dose category, the odds ratios of a spontaneous abortion for 1-2mSv, 2-3mSv, 3-4mSv and 4-5mSv were calculated as 1.57, 1.82, 2.11 and 2.15 respectively. This increase in odds was linear with estimated fetal radiation dose as demonstrated by the significant regression equation (F=29.93, p = .01) and an R2 of 0.9089. Conclusions By demonstrating an increased risk at levels of radiation as low as natural background, and further demonstrating the risk increases linearly with radiation dose, the Linear Non-Threshold Theory appears to be the more likely risk model for predicting spontaneous abortions in lieu of the belief that a 100mSv threshold must first be exceeded for a radiation induced spontaneous abortion to occur. Application of this model demonstrates the risk of a spontaneous abortion is twice as likely in occupational workers whose fetal radiation doses are closer to the maximum allowable limit of 5mSv compared with those who maintain fetal radiation doses below 1mSv.
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Haynes, Kelli Welch. "The Importance of Professional Values From Radiologic Technologists' Perspective." Thesis, University of Louisiana at Monroe, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10749823.

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Research on professional values in radiologic technologists’ is practically nonexistent. Though learning professional values is important, professional values have not been identified and articulated by the radiologic technology profession. The purpose of this study was to determine radiologic technologists’ perception of professional values and determine if radiologic technologists feel it is important to articulate professional values. No original research study evaluating the perception of professional values of practicing radiologic technologists was identified. The purposeful, convenience sample of 716 American Society of Radiologic Technologists (ASRT) members represented a cross sectional view of radiologic technologists. The Radiologic Technologists’ Perceptions of Professional Values Scale (RTPPVS), adapted from the Professionalism in Physical Therapy Core Values Self-Assessment developed by the American Physical Therapy Association, was used to collect quantitative data regarding the importance of professional values from a radiologic technologists’ perspective. Results indicate that professional values are important to radiologic technologists.

The RTPPVS revealed that radiologic technologists perceive the seven professional values, accountability, altruism, compassion/caring, excellence, integrity, professional duty, social responsibility, as important. Overall, altruism indicators were chosen as the most important professional value and social responsibility was chosen as the least important professional value. A sample of American Society of Radiologic Technologists members perceive it is important for the profession to explicitly articulate professional values.

This research did not demonstrate a statistically significant difference among the demographic characteristics. There were no differences in perceived importance of professional values based on gender, age, state of residency, education level, years of experience, or job title. Implications for practice indicate a need for the profession to adopt and articulate professional values.

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Verhovsek, Ester L. "Radiography Curriculum Change Update: American Society of Radiologic Technologists." Digital Commons @ East Tennessee State University, 2011. https://dc.etsu.edu/etsu-works/2591.

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Borchert, Gayle. "An analysis of employer's satisfaction with the radiologic technology program graduates at Lakeshore Technical College." Menomonie, WI : University of Wisconsin--Stout, 2007. http://www.uwstout.edu/lib/thesis/2007/2007borchertg.pdf.

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Sciacchitano, Marian. "Occupational stress, personality hardiness and burnout among hospital-employed radiographers /." View abstract, 1999. http://library.ctstateu.edu/ccsu%5Ftheses/1577.html.

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Thesis (M.A.)--Central Connecticut State University, 1999.
Thesis advisor: Marc Goldstein. " ... in partial fulfillment of the requirements for the degree of Master of Arts [in Psychology]." Includes bibliographical references (leaves 34-41).
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Housenick-Lee, Megan. "Social-Ecological Factors Affecting Patient Shield Use Among Radiologic and Computed Tomography Technologists." Digital Commons @ East Tennessee State University, 2017. https://dc.etsu.edu/etd/3321.

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Medical radiation is estimated to contribute to over 200,000 deaths annually. Recent increases in the use of radiation-producing medical imaging examinations have led to increasing cumulative radiation dose to the general public. Multiple measures have been taken to address this alarming trend, including physician education, technologist education on dose reduction, and equipment-facilitated dose reduction techniques. Shield use can reduce the primary beam by up to 95%. Medical imaging technologists are the primary individuals responsible for applying shielding during an examination. Currently, literature shows that technologists are not shielding individuals as often as they should. After pilot testing, medical imaging technologists were recruited via email to participate in a national cross-sectional survey in September 2017. The survey contained items related to technologists’ demographics, shielding behaviors, and attitudes and beliefs measured at four social-ecological levels – intrapersonal, interpersonal, organizational, and community. The American Registry of Radiologic Technologists (ARRT) provided a list of technologists’ email addresses from their directory. One thousand six-hundred and sixty-one email notifications were sent out in the summer of 2017. Of those, 218 technologists (13%) completed the survey. Among technologists who considered their primary modality to be computed tomography (CT), organizational level factors were a positive significant predictor of shielding behavior. None of the four levels were significant in predicting shielding behavior among diagnostic radiological technologists (x-ray). Individual factors were significantly correlated to shielding behavior among radiologic technologists in the intrapersonal, organizational, and community levels. Study results indicated that interventions implemented at the organizational level may be most effective in increasing shield use among CT technologists. Additional research is needed to better understand factors affecting shield use among medical imaging technologists.
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Weege, Melissa R. "Predictors of success in applicants to the Radiation Therapy Program at University of Wisconsin-La Crosse." Online version, 2009. http://www.uwstout.edu/lib/thesis/2009/2009weegeme.pdf.

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MAZZEO, JOHN, and JOHN MAZZEO. "AN EVALUATION OF THE LEVEL OF SKILL REQUIRED OF OPERATORS OF A COMPUTER-ASSISTED RADIOLOGIC TOTAL LUNG CAPACITY MEASUREMENT SYSTEM (RELIABILITY, VALIDITY)." Diss., The University of Arizona, 1985. http://hdl.handle.net/10150/188124.

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This research was conducted to obtain information regarding the feasibility of using non-medical personnel to obtain measurements of radiologic total lung capacity (TLC). Operators from each of four groups (general undergraduates, nursing students, medical students, radiologists) differing in the amount of medical training and/or experience reading x-rays, performed each of two tasks. The first task was the measurement of radiologic TLC for a set of twenty x-rays. The second task consisted of tracing the outline of the anatomical structures that must be identified in the execution of the radiologic TLC measurement task. Data from the radiologic TLC measurement task were used to identify possible group differences in the reliability and validity of the measures. The reliability analyses were performed within the framework of Generalizability Theory. While the results are not conclusive, due to small sample sizes, the analyses suggest that group differences in reliability of the measures, if they exist, are small. The concurrent validity of the measures was assessed by obtaining, for each experience level, the correlation between the group mean radiologic TLC for a film set and the TLC for that patient, obtained from a body plethysmograph. Only small differences in the group correlation coefficients were observed. A liberal test of these differences indicated they were not statistically significant. Additionally, two experience level by film sets ANOVAs were performed to determine possible group differences in how well the actual magnitudes of the radiologic TLC measures approximated those obtained with the body plethysmograph. These analyses indicated that the magnitude of the differences between radiologic and plethysmographic TLC measures were smaller for the undergraduates than for the nursing students and radiologists. Lastly, a number of analyses of the anatomical structure tracings were performed. Few interpretable group differences were found.
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Passmore, Gregory. "The effects of Gowin's vee heuristic diagraming and concept mapping on meaningful learning in the radiation science classroom and laboratory /." free to MU campus, to others for purchase, 1996. http://wwwlib.umi.com/cr/mo/fullcit?p9737850.

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Books on the topic "Radiologic technologists"

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Introduction to radiologic technology. 7th ed. Maryland Heights, MO: Mosby/Elsevier, 2011.

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C, Parsons Ward, ed. Mammography for radiologic technologists. New York: McGraw-Hill, Health Professions Division, 1992.

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Wentz, Gini. Mammography for radiologic technologists. 2nd ed. New York: McGraw-Hill, Health Professions Division, 1997.

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Basic medical techniques and patient care for radiologic technologists. 4th ed. Philadelphia: Lippincott, 1993.

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Torres, Lillian S. Basic medical techniques and patient care for radiologic technologists. 3rd ed. Philadelphia: Lippincott, 1989.

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1918-, Gurley LaVerne Tolley, and Callaway William J. 1951-, eds. Introduction to radiologic technology. 2nd ed. St. Louis: Multi-Media Pub., 1986.

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Raymond, Mark R. Test-item development for radiologic technology. St. Paul, Minn: American Registry of Radiologic Technologists, 2003.

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Bushong, Stewart C. Radiologic science for technologists: Physics, biology, and protection. 5th ed. St. Louis: Mosby-Year Book, 1992.

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Radiologic science for technologists: Physics, biology, and protection. 6th ed. St. Louis: Mosby, 1997.

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Radiologic science for technologists: Workbook and laboratory manual. 8th ed. St. Louis, Mo: Mosby, 2004.

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Book chapters on the topic "Radiologic technologists"

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Mazal, Jonathan R., and Christopher B. Steelman. "Technologists Role in Global Health Radiology." In Radiology in Global Health, 75–84. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-0604-4_9.

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Lavelle, M. "Radiological and Nuclear." In Advanced Sciences and Technologies for Security Applications, 79–99. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-17374-5_4.

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Karam, P. Andrew. "How Radiological Weapons Work." In Advanced Sciences and Technologies for Security Applications, 39–49. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69162-2_5.

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Reiman, Robert E. "Radiation Protection of Technologists and Ancillary Personnel." In Clinical PET-CT in Radiology, 83–90. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-0-387-48902-5_8.

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Karam, P. Andrew. "Health Effects of Radiological Weapons." In Advanced Sciences and Technologies for Security Applications, 51–59. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69162-2_6.

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Karam, P. Andrew. "Physical Effects of Radiological Weapons." In Advanced Sciences and Technologies for Security Applications, 61–72. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69162-2_7.

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Rankin, R. N. "Technologies for Teaching: Exploring the Use of PACS, Databases, and Teaching Files." In Radiology Education, 145–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-68989-8_12.

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Kueneman, Jamie, and Mark Hunter. "The Medical Radiation Technologist: A Valuable Resource." In The Practice of Radiology Education, 71–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-03234-9_5.

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Karam, P. Andrew. "Working Safely in a Radiological Area." In Advanced Sciences and Technologies for Security Applications, 183–90. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69162-2_16.

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Karam, P. Andrew. "Societal Impact of a Radiological Attack." In Advanced Sciences and Technologies for Security Applications, 73–82. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69162-2_8.

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Conference papers on the topic "Radiologic technologists"

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Liu, Jason J., Michele M. Doody, Mark P. Little, D. Michal Freedman, Bruce H. Alexander, Cari M. Kitahara, Alice J. Sigurdson, et al. "Abstract 281: Work history and cancer mortality risks in 90,268 United States radiologic technologists." In Proceedings: AACR Annual Meeting 2014; April 5-9, 2014; San Diego, CA. American Association for Cancer Research, 2014. http://dx.doi.org/10.1158/1538-7445.am2014-281.

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Meinhold, Cari, Elaine Ron, Sara Schonfeld, Bruce Alexander, D. Michal Freedman, Martha Linet, and Amy Berrington de Gonzalez. "Abstract A90: Anthropometry, cigarette smoking, alcohol consumption, and the risk of thyroid cancer in the U.S. Radiologic Technologists Study." In Abstracts: Frontiers in Cancer Prevention Research 2008. American Association for Cancer Research, 2008. http://dx.doi.org/10.1158/1940-6207.prev-08-a90.

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Redfern, Regina O., Steven C. Horii, Eric R. Feingold, and Harold L. Kundel. "Experience with radiology workflow and PACS: effects on technologist and radiologist task times." In Medical Imaging '99, edited by G. James Blaine and Steven C. Horii. SPIE, 1999. http://dx.doi.org/10.1117/12.352760.

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"Emerging Technologies." In Proceedings of UK Radiological Conference 2016. The British Institute of Radiology, 2016. http://dx.doi.org/10.1259/conf-pukrc.2016.emerg-tech.

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"Artificial Intelligence / Imaging Technologies." In Proceedings of UK Radiological Conference 2020. The British Institute of Radiology, 2020. http://dx.doi.org/10.1259/conf-pukrc.2020.posters-h-ai-tech.

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"Imaging Technologies and Informatics." In Proceedings of UK Radiological Conference 2017. The British Institute of Radiology, 2017. http://dx.doi.org/10.1259/conf-pukrc.2017.imaging-tech.

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Connor, Suzy. "MEDICAL ENGLISH EDUCATION FOR JAPANESE RADIOLOGICAL TECHNOLOGISTS." In 13th International Technology, Education and Development Conference. IATED, 2019. http://dx.doi.org/10.21125/inted.2019.0094.

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"Dose/Rad Prot/Imaging Technologies." In Proceedings of UK Radiological Conference 2019. The British Institute of Radiology, 2019. http://dx.doi.org/10.1259/conf-pukrc.2019.posters-dose-rad-prot.

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"Poster Presentations - Imaging Technologies and Informatics." In Proceedings of UK Radiological Conference 2018. The British Institute of Radiology, 2018. http://dx.doi.org/10.1259/conf-pukrc.2018.posters-imaging-tech.

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Yang, Lan, Xuefeng Jiang, and Abraham J. Qavi. "Whispering-gallery microresonators for sensing technologies." In Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XIX, edited by Augustus W. Fountain, Jason A. Guicheteau, and Chris R. Howle. SPIE, 2018. http://dx.doi.org/10.1117/12.2305458.

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Reports on the topic "Radiologic technologists"

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Jones, Nicole S., Jeri D. Ropero-Miller, Heather Waltke, Danielle McLeod-Henning, Danielle Weiss, and Hannah Barcus. Proceedings of the International Forensic Radiology Research Summit May 10–11, 2016, Amsterdam, The Netherlands. RTI Press, September 2017. http://dx.doi.org/10.3768/rtipress.2017.cp.0005.1709.

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On May 10–11, 2016, the US Department of Justice (DOJ) National Institute of Justice (NIJ), the Netherlands Forensic Institute (NFI; Dutch Ministry of Security and Justice of the Netherlands), the International Society for Forensic Radiology and Imaging (ISFRI), the International Association of Forensic Radiographers (IAFR), and NIJ’s Forensic Technology Center of Excellence (FTCoE) at RTI International organized and convened the International Forensic Radiology Research Summit (IFRRS) at the Academic Medical Center in Amsterdam. The summit assembled 40 international subject matter experts in forensic radiology, to include researchers, practitioners, government employees, and professional staff from 14 countries. The goal of this 2-day summit was to identify gaps, challenges, and research needs to produce a road map to success regarding the state of forensic radiology, including formulating a plan to address the obstacles to implementation of advanced imaging technologies in medicolegal investigations. These proceedings summarize the meeting’s important exchange of technical and operational information, ideas, and solutions for the community and other stakeholders of forensic radiology.
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Sutton, M., and P. Zhao. Emerging Technologies and Techniques for Wide Area Radiological Survey and Remediation. Office of Scientific and Technical Information (OSTI), March 2016. http://dx.doi.org/10.2172/1289376.

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Harrison, Richard Karl, Jeffrey B. Martin, Dora K. Wiemann, Junoh Choi, and Stephen W. Howell. New radiological material detection technologies for nuclear forensics: Remote optical imaging and graphene-based sensors. Office of Scientific and Technical Information (OSTI), September 2015. http://dx.doi.org/10.2172/1214453.

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Rudd, Ian. Leveraging Artificial Intelligence and Robotics to Improve Mental Health. Intellectual Archive, July 2022. http://dx.doi.org/10.32370/iaj.2710.

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Artificial Intelligence (AI) is one of the oldest fields of computer science used in building structures that look like human beings in terms of thinking, learning, solving problems, and decision making (Jovanovic et al., 2021). AI technologies and techniques have been in application in various aspects to aid in solving problems and performing tasks more reliably, efficiently, and effectively than what would happen without their use. These technologies have also been reshaping the health sector's field, particularly digital tools and medical robotics (Dantas & Nogaroli, 2021). The new reality has been feasible since there has been exponential growth in the patient health data collected globally. The different technological approaches are revolutionizing medical sciences into dataintensive sciences (Dantas & Nogaroli, 2021). Notably, with digitizing medical records supported the increasing cloud storage, the health sector created a vast and potentially immeasurable volume of biomedical data necessary for implementing robotics and AI. Despite the notable use of AI in healthcare sectors such as dermatology and radiology, its use in psychological healthcare has neem models. Considering the increased mortality and morbidity levels among patients with psychiatric illnesses and the debilitating shortage of psychological healthcare workers, there is a vital requirement for AI and robotics to help in identifying high-risk persons and providing measures that avert and treat mental disorders (Lee et al., 2021). This discussion is focused on understanding how AI and robotics could be employed in improving mental health in the human community. The continued success of this technology in other healthcare fields demonstrates that it could also be used in redefining mental sicknesses objectively, identifying them at a prodromal phase, personalizing the treatments, and empowering patients in their care programs.
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Riley, Larry E. Sensor Feasibility Report: Survey of the Capabilities and Limitations of Chemical, Biological, Radiological, Nuclear and Explosive (CBRNE) Sensor Technologies Relevant to Vehicle Inspection Systems. Fort Belvoir, VA: Defense Technical Information Center, October 2007. http://dx.doi.org/10.21236/ada475257.

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Walker, Randy M. CONCEPT OF OPERATIONS PLANS for Phase I the INTERNATIONAL PILOT FOR Global Radiological source SORTING, Tracking, AND MONITORING (GradSStraM) Using eMERGING RFID AND WEB 2.0 TECHNOLOGIES TO PROVIDE TOTAL ASSET AND INFORMATION VISUALIZATIONA United states- European Union Lighthouse Priority Project for fostering trade and reducing regulatory burden. Office of Scientific and Technical Information (OSTI), January 2009. http://dx.doi.org/10.2172/993776.

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