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.

MeSH information

Definition | Details | More General Concepts | Related Concepts | More Specific Concepts

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	Radiographic Image Interpretation, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Radiographic Image Interpretation, Computer Assisted Computer Assisted Radiographic Image Interpretation Computer-Assisted Radiographic Image Interpretation

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".

publications

Timeline | Most Recent

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.

Bar chart showing 62 publications over 19 distinct years, with a maximum of 5 publications in 2010 and 2012 and 2013

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	2	4
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	4	4
2022	0	1	1

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.

View in: PubMed
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.

View in: PubMed
Leon S, Olguin E, Schaeffer C, Olguin C, Verma N, Mohammed TL, Grajo J, Arreola M. Comparison of CT image quality between the AIDR 3D and FIRST iterative reconstruction algorithms: an assessment based on phantom measurements and clinical images. Phys Med Biol. 2021 06 07; 66(12).

View in: PubMed
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.

View in: PubMed
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.

View in: PubMed
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.

View in: PubMed
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.

View in: PubMed
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.

View in: PubMed
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.

View in: PubMed
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.

View in: PubMed

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