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 20 distinct years, with a maximum of 6 publications in 2021

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	1	1	2
2017	1	0	1
2018	2	1	3
2019	2	0	2
2020	2	0	2
2021	0	6	6
2022	0	2	2
2023	0	1	1

Below are the most recent publications written about "Radiographic Image Interpretation, Computer-Assisted" by people in Profiles.

Schwartz FR, Clark DP, Rigiroli F, Kalisz K, Wildman-Tobriner B, Thomas S, Wilson J, Badea CT, Marin D. Evaluation of the impact of a novel denoising algorithm on image quality in dual-energy abdominal CT of obese patients. Eur Radiol. 2023 Oct; 33(10):7056-7065.

View in: PubMed
Lyu P, Liu N, Harrawood B, Solomon J, Wang H, Chen Y, Rigiroli F, Ding Y, Schwartz FR, Jiang H, Lowry C, Wang L, Samei E, Gao J, Marin D. Is it possible to use low-dose deep learning reconstruction for the detection of liver metastases on CT routinely? Eur Radiol. 2023 Mar; 33(3):1629-1640.

View in: PubMed
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
Lyu P, Neely B, Solomon J, Rigiroli F, Ding Y, Schwartz FR, Thomsen B, Lowry C, Samei E, Marin D. Effect of deep learning image reconstruction in the prediction of resectability of pancreatic cancer: Diagnostic performance and reader confidence. Eur J Radiol. 2021 Aug; 141:109825.

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
Yoo H, Lee SH, Arru CD, Doda Khera R, Singh R, Siebert S, Kim D, Lee Y, Park JH, Eom HJ, Digumarthy SR, Kalra MK. AI-based improvement in lung cancer detection on chest radiographs: results of a multi-reader study in NLST dataset. Eur Radiol. 2021 Dec; 31(12):9664-9674.

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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.

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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

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