 Image Interpretation, Computer-Assisted
"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.
Methods developed to aid in the interpretation of ultrasound, radiographic images, etc., for diagnosis of disease.
| Descriptor ID |
D007090
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| MeSH Number(s) |
E01.158.600 E01.370.350.350 L01.700.508.100.158.600
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| Concept/Terms |
Image Interpretation, Computer-Assisted- Image Interpretation, Computer-Assisted
- Computer-Assisted Image Interpretation
- Computer-Assisted Image Interpretations
- Image Interpretations, Computer-Assisted
- Interpretation, Computer-Assisted Image
- Interpretations, Computer-Assisted Image
- Image Interpretation, Computer Assisted
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Below are MeSH descriptors whose meaning is more general than "Image Interpretation, Computer-Assisted".
Below are MeSH descriptors whose meaning is more specific than "Image Interpretation, Computer-Assisted".
This graph shows the total number of publications written about "Image Interpretation, Computer-Assisted" by people in this website by year, and whether "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 |
|---|
| 1987 | 1 | 0 | 1 | | 1988 | 4 | 1 | 5 | | 1990 | 4 | 0 | 4 | | 1993 | 1 | 1 | 2 | | 1994 | 1 | 0 | 1 | | 1995 | 3 | 1 | 4 | | 1997 | 1 | 1 | 2 | | 1998 | 1 | 0 | 1 | | 1999 | 0 | 1 | 1 | | 2000 | 1 | 0 | 1 | | 2001 | 1 | 0 | 1 | | 2002 | 2 | 0 | 2 | | 2003 | 3 | 3 | 6 | | 2004 | 7 | 0 | 7 | | 2005 | 12 | 4 | 16 | | 2006 | 23 | 1 | 24 | | 2007 | 16 | 8 | 24 | | 2008 | 14 | 7 | 21 | | 2009 | 20 | 8 | 28 | | 2010 | 17 | 12 | 29 | | 2011 | 12 | 9 | 21 | | 2012 | 17 | 5 | 22 | | 2013 | 14 | 13 | 27 | | 2014 | 15 | 6 | 21 | | 2015 | 16 | 10 | 26 | | 2016 | 9 | 10 | 19 | | 2017 | 8 | 8 | 16 | | 2018 | 8 | 5 | 13 | | 2019 | 5 | 5 | 10 | | 2020 | 0 | 1 | 1 |
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Below are the most recent publications written about "Image Interpretation, Computer-Assisted" by people in Profiles.
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El Naqa I, Haider MA, Giger ML, Ten Haken RK. Artificial Intelligence: reshaping the practice of radiological sciences in the 21st century. Br J Radiol. 2020 Feb 01; 93(1106):20190855.
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Penk J, Mukadam S, Zaidi SJ, Cui V, Metzger R, Roberson DA, Li Y. Comparison of Semi-Automated Versus Manual Quantitative Right Ventricular Assessment in Hypoplastic Left Heart Syndrome. Pediatr Cardiol. 2020 Jan; 41(1):69-76.
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Ji Y, Li H, Edwards AV, Papaioannou J, Ma W, Liu P, Giger ML. Independent validation of machine learning in diagnosing breast Cancer on magnetic resonance imaging within a single institution. Cancer Imaging. 2019 Sep 18; 19(1):64.
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Berry JD, Mehta A, Lin K, Ayers CR, Carroll T, Pandey A, Garside DB, Daviglus ML, Yuan C, Lloyd-Jones DM. Association of Long-Term Risk Factor Levels With Carotid Atherosclerosis: The Chicago Healthy Aging Magnetic Resonance Imaging Plaque Study (CHAMPS). Circ Cardiovasc Imaging. 2019 09; 12(9):e009226.
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Peters S, Huhndorf M, Jensen-Kondering U, Larsen N, Koktzoglou I, Edelman RR, Graessner J, Both M, Jansen O, Salehi Ravesh M. Non-Contrast-Enhanced Carotid MRA: Clinical Evaluation of a Novel Ungated Radial Quiescent-Interval Slice-Selective MRA at 1.5T. AJNR Am J Neuroradiol. 2019 09; 40(9):1529-1537.
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Wang S, Fan X, Zhang Y, Medved M, He D, Yousuf A, Jamison E, Oto A, Karczmar GS. Use of Indicator Dilution Principle to Evaluate Accuracy of Arterial Input Function Measured With Low-Dose Ultrafast Prostate Dynamic Contrast-Enhanced MRI. Tomography. 2019 06; 5(2):260-265.
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Narang A, Mor-Avi V, Prado A, Volpato V, Prater D, Tamborini G, Fusini L, Pepi M, Goyal N, Addetia K, Gonçalves A, Patel AR, Lang RM. Machine learning based automated dynamic quantification of left heart chamber volumes. Eur Heart J Cardiovasc Imaging. 2019 May 01; 20(5):541-549.
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Medvedofsky D, Lang RM, Weinert L, Tehrani DM, Narang A, Mor-Avi V. 3D echocardiographic global longitudinal strain can identify patients with mildly-to-moderately reduced ejection fraction at higher cardiovascular risk. Int J Cardiovasc Imaging. 2019 Sep; 35(9):1573-1579.
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Vali A, Aristova M, Vakil P, Abdalla R, Prabhakaran S, Markl M, Ansari SA, Schnell S. Semi-automated analysis of 4D flow MRI to assess the hemodynamic impact of intracranial atherosclerotic disease. Magn Reson Med. 2019 08; 82(2):749-762.
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Genovese D, Addetia K, Kebed K, Kruse E, Yamat M, Narang A, Patel AR, Badano LP, Muraru D, Gonçalves A, Mor-Avi V, Lang RM. First Clinical Experience With 3-Dimensional Echocardiographic Transillumination Rendering. JACC Cardiovasc Imaging. 2019 09; 12(9):1868-1871.
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