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
|
| MeSH Number(s) |
E01.158.600.680 E01.370.350.350.700 E01.370.350.700.705 L01.313.500.750.100.158.600.680
|
| Concept/Terms |
|
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]
- Informatics [L01.313]
- Medical Informatics [L01.313.500]
- Medical Informatics Applications [L01.313.500.750]
- Decision Making, Computer-Assisted [L01.313.500.750.100]
- Diagnosis, Computer-Assisted [L01.313.500.750.100.158]
- Image Interpretation, Computer-Assisted [L01.313.500.750.100.158.600]
- Radiographic Image Interpretation, Computer-Assisted [L01.313.500.750.100.158.600.680]
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 this website 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 |
|---|
| 1997 | 0 | 1 | 1 |
| 1999 | 0 | 2 | 2 |
| 2005 | 4 | 0 | 4 |
| 2006 | 1 | 2 | 3 |
| 2007 | 3 | 1 | 4 |
| 2008 | 2 | 1 | 3 |
| 2009 | 1 | 3 | 4 |
| 2010 | 2 | 3 | 5 |
| 2011 | 1 | 1 | 2 |
| 2012 | 3 | 2 | 5 |
| 2013 | 3 | 2 | 5 |
| 2014 | 4 | 0 | 4 |
| 2016 | 2 | 0 | 2 |
| 2017 | 1 | 1 | 2 |
| 2018 | 3 | 0 | 3 |
| 2019 | 2 | 2 | 4 |
| 2020 | 2 | 1 | 3 |
| 2021 | 0 | 3 | 3 |
| 2022 | 0 | 1 | 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.
-
Wortman JR, Kunst M. Multi-Energy CT Applications: Problem-Solving in Emergency Radiology. Radiol Clin North Am. 2023 Jan; 61(1):1-21.
-
Majeed NF, Ali SM, Therrien J, Wald C, Wortman JR. Virtual Monoenergetic Spectral Detector CT for Preoperative CT Angiography in Liver Donors. Curr Probl Diagn Radiol. 2022 Jul-Aug; 51(4):517-523.
-
Majeed NF, Braschi Amirfarzan M, Wald C, Wortman JR. Spectral detector CT applications in advanced liver imaging. Br J Radiol. 2021 Jul 01; 94(1123):20201290.
-
Arous EJ, Judelson DR, Agrawal A, Dundamadappa SK, Crawford AS, Malka KT, Simons JP, Schanzer A. Computed tomography angiography-derived area stenosis calculations overestimate degree of carotid stenosis compared with North American Symptomatic Carotid Endarterectomy Trial-derived diameter stenosis calculations. J Vasc Surg. 2021 08; 74(2):579-585.e2.
-
Chang YM, Tenenbaum M, Xiong Y, Selim M, Bhadelia R, Hacein-Bey L, Ivanovic V. Brain Computed Tomography Angiography Maximum Intensity Projection Images for ASPECTS Derivation and Detection of Large Infarct Volumes: Preliminary Study. J Stroke Cerebrovasc Dis. 2021 Mar; 30(3):105548.
-
Sodickson AD, Keraliya A, Czakowski B, Primak A, Wortman J, Uyeda JW. Dual energy CT in clinical routine: how it works and how it adds value. Emerg Radiol. 2021 Feb; 28(1):103-117.
-
Culbertson CJ, Christensen S, Mlynash M, Heit JJ, Federau C, Sells CM, Legault C, McCaslin AFH, Werbaneth K, Albers GW, Lansberg MG. Tilt-Corrected Region Boundaries May Enhance the Alberta Stroke Program Early Computed Tomography Score for Less Experienced Raters. J Stroke Cerebrovasc Dis. 2020 Jul; 29(7):104820.
-
Sim Y, Chung MJ, Kotter E, Yune S, Kim M, Do S, Han K, Kim H, Yang S, Lee DJ, Choi BW. Deep Convolutional Neural Network-based Software Improves Radiologist Detection of Malignant Lung Nodules on Chest Radiographs. Radiology. 2020 01; 294(1):199-209.
-
Mario J, Venkataraman S, Fein-Zachary V, Knox M, Brook A, Slanetz P. Lumpectomy Specimen Radiography: Does Orientation or 3-Dimensional Tomosynthesis Improve Margin Assessment? Can Assoc Radiol J. 2019 Aug; 70(3):282-291.
-
Sun EX, Wortman JR, Uyeda JW, Lacson R, Sodickson AD. Virtual monoenergetic dual-energy CT for evaluation of hepatic and splenic lacerations. Emerg Radiol. 2019 Aug; 26(4):419-425.