 Radiographic Image Interpretation, Computer-Assisted
"Radiographic Image Interpretation, Computer-Assisted" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
Computer systems or networks designed to provide radiographic interpretive information.
| Descriptor ID |
D011857
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| MeSH Number(s) |
E01.158.600.680 E01.370.350.350.700 E01.370.350.700.705 L01.700.508.100.158.600.680
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| Concept/Terms |
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Below are MeSH descriptors whose meaning is more general than "Radiographic Image Interpretation, Computer-Assisted".
- Analytical, Diagnostic and Therapeutic Techniques and Equipment [E]
- Diagnosis [E01]
- Diagnosis, Computer-Assisted [E01.158]
- Image Interpretation, Computer-Assisted [E01.158.600]
- Radiographic Image Interpretation, Computer-Assisted [E01.158.600.680]
- Diagnostic Techniques and Procedures [E01.370]
- Diagnostic Imaging [E01.370.350]
- Image Interpretation, Computer-Assisted [E01.370.350.350]
- Radiographic Image Interpretation, Computer-Assisted [E01.370.350.350.700]
- Radiography [E01.370.350.700]
- Radiographic Image Interpretation, Computer-Assisted [E01.370.350.700.705]
- Information Science [L]
- Information Science [L01]
- Medical Informatics [L01.700]
- Medical Informatics Applications [L01.700.508]
- Decision Making, Computer-Assisted [L01.700.508.100]
- Diagnosis, Computer-Assisted [L01.700.508.100.158]
- Image Interpretation, Computer-Assisted [L01.700.508.100.158.600]
- Radiographic Image Interpretation, Computer-Assisted [L01.700.508.100.158.600.680]
Below are MeSH descriptors whose meaning is more specific than "Radiographic Image Interpretation, Computer-Assisted".
This graph shows the total number of publications written about "Radiographic Image Interpretation, Computer-Assisted" by people in UAMS Profiles by year, and whether "Radiographic Image Interpretation, Computer-Assisted" was a major or minor topic of these publications.
To see the data from this visualization as text, click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 2021 | 0 | 1 | 1 | | 2020 | 1 | 1 | 2 | | 2018 | 1 | 1 | 2 | | 2016 | 2 | 2 | 4 | | 2015 | 1 | 2 | 3 | | 2014 | 0 | 1 | 1 | | 2013 | 2 | 0 | 2 | | 2012 | 1 | 0 | 1 | | 2011 | 1 | 2 | 3 | | 2010 | 0 | 2 | 2 | | 2009 | 1 | 0 | 1 | | 2008 | 4 | 0 | 4 | | 2007 | 0 | 1 | 1 | | 2006 | 1 | 0 | 1 | | 2005 | 1 | 0 | 1 | | 2003 | 1 | 0 | 1 |
To return to the timeline, click here.
Below are the most recent publications written about "Radiographic Image Interpretation, Computer-Assisted" by people in Profiles over the past ten years.
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Nguyen NTV, Martinez-Catalan N, Songy CE, Sanchez-Sotelo J. Radiological humeral adaptative changes five years after anatomical total shoulder arthroplasty using a standard-length cementless hydroxyapatite-coated humeral component. Bone Joint J. 2021 May; 103-B(5):958-963.
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Zhang JM, Chandola G, Tan RS, Chai P, Teo LLS, Low R, Allen JC, Huang W, Fam JM, Chin CY, Wong ASL, Low AF, Kassab GS, Chua T, Tan SY, Lim ST, Zhong L. Quantification of effects of mean blood pressure and left ventricular mass on noninvasive fast fractional flow reserve. Am J Physiol Heart Circ Physiol. 2020 08 01; 319(2):H360-H369.
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Schonberger M, Lefere P, Dachman AH. Pearls and Pitfalls of Interpretation in CT Colonography. Can Assoc Radiol J. 2020 May; 71(2):140-148.
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Hosny A, Dilley JD, Kelil T, Mathur M, Dean MN, Weaver JC, Ripley B. Pre-procedural fit-testing of TAVR valves using parametric modeling and 3D printing. J Cardiovasc Comput Tomogr. 2019 Jan - Feb; 13(1):21-30.
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Stanley DN, Rasmussen K, Kirby N, Papanikolaou N, Guti?rrez AN. An evaluation of the stability of image quality parameters of Elekta X-ray volume imager and iViewGT imaging systems. J Appl Clin Med Phys. 2018 May; 19(3):64-70.
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Kirkwood ML, Guild JB, Arbique GM, Tsai S, Modrall JG, Anderson JA, Rectenwald J, Timaran C. New image-processing and noise-reduction software reduces radiation dose during complex endovascular procedures. J Vasc Surg. 2016 Nov; 64(5):1357-1365.
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Gierada DS, Politte DG, Zheng J, Schechtman KB, Whiting BR, Smith KE, Crabtree T, Kreisel D, Krupnick AS, Patterson GA, Puri V, Meyers BF. Quantitative Computed Tomography Classification of Lung Nodules: Initial Comparison of 2- and 3-Dimensional Analysis. J Comput Assist Tomogr. 2016 Jul-Aug; 40(4):589-95.
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Zaheer S, Iancu D, Seppala N, Patro S, Glikstein R, Thornhill RE, Lum C. Quantitative non-contrast measurements improve diagnosing dural venous sinus thrombosis. Neuroradiology. 2016 Jul; 58(7):657-63.
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Patro SN, Chakraborty S, Sheikh A. The use of adaptive statistical iterative reconstruction (ASiR) technique in evaluation of patients with cervical spine trauma: impact on radiation dose reduction and image quality. Br J Radiol. 2016; 89(1060):20150082.
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Koleilat I, Jaeggli M, Ewing JA, Androes M, Simionescu DT, Eidt J. Interobserver variability in physician-modified endograft planning by comparison with a three-dimensional printed aortic model. J Vasc Surg. 2016 Dec; 64(6):1789-1796.
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Gierach GL, Patel DA, Falk RT, Pfeiffer RM, Geller BM, Vacek PM, Weaver DL, Chicoine RE, Shepherd JA, Mahmoudzadeh AP, Wang J, Fan B, Herschorn SD, Xu X, Veenstra T, Fuhrman B, Sherman ME, Brinton LA. Relationship of serum estrogens and metabolites with area and volume mammographic densities. Horm Cancer. 2015 Jun; 6(2-3):107-19.
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Stanley DN, Papanikolaou N, Gutierrez AN. An evaluation of the stability of image-quality parameters of Varian on-board imaging (OBI) and EPID imaging systems. J Appl Clin Med Phys. 2015 Mar 08; 16(2):5088.
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Buchmann RF, Bruce Greenberg S. Optimizing image quality for pediatric torso computed tomography: the use of advanced iterative reconstruction and wide-detector scanning techniques. J Comput Assist Tomogr. 2014 Sep-Oct; 38(5):786-9.
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