 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 L01.313.500.750.100.158.600.680
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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]
- 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 |
|---|
| 1996 | 1 | 0 | 1 | | 2001 | 1 | 0 | 1 | | 2004 | 1 | 1 | 2 | | 2006 | 2 | 0 | 2 | | 2007 | 2 | 1 | 3 | | 2008 | 2 | 1 | 3 | | 2009 | 1 | 1 | 2 | | 2010 | 0 | 1 | 1 | | 2011 | 1 | 2 | 3 | | 2012 | 4 | 2 | 6 | | 2013 | 1 | 5 | 6 | | 2014 | 5 | 4 | 9 | | 2015 | 4 | 3 | 7 | | 2016 | 2 | 4 | 6 | | 2017 | 1 | 5 | 6 | | 2018 | 7 | 1 | 8 | | 2019 | 3 | 1 | 4 | | 2020 | 1 | 2 | 3 | | 2021 | 3 | 0 | 3 | | 2022 | 0 | 1 | 1 | | 2023 | 0 | 2 | 2 | | 2024 | 0 | 1 | 1 | | 2025 | 3 | 4 | 7 |
To return to the timeline, click here.
Below are the most recent publications written about "Radiographic Image Interpretation, Computer-Assisted" by people in Profiles.
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Humphries SM, Chung A, Swigris JJ, Oh AS, Walsh SLF, Lynch DA, Goldin JG, Kim GHJ. Quantification of Interstitial Lung Diseases, From the AJR Special Series on Quantitative Imaging. AJR Am J Roentgenol. 2025 Dec; 225(6):e2432053.
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Arguello Fletes GM, Zhou W, Malone LJ, Fuentealba Cargill AI, Weinman JP, Browne LP. Comparative radiation dose analysis in pediatric high-pitch cardiac CTA using photon-counting versus energy-integrating detector CT. Pediatr Radiol. 2025 Nov; 55(12):2579-2589.
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Zhong Z, Wang Y, Bi L, Ma Z, Ahn SH, Mullin CJ, Greineder CF, Atalay MK, Collins S, Baird GL, Lin CT, Stayman JW, Kolb TM, Kamel I, Bai HX, Jiao Z. Abn-BLIP: Abnormality-aligned Bootstrapping Language-Image Pre-training for pulmonary embolism diagnosis and report generation from CTPA. Med Image Anal. 2026 Jan; 107(Pt A):103786.
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Prince EW, Mirsky DM, Hankinson TC, Görg C. Impact of AI Decision Support on Clinical Experts' Radiographic Interpretation of Adamantinomatous Craniopharyngioma. AMIA Annu Symp Proc. 2024; 2024:930-939.
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Kavuri A, Paul Segars W, Xu X, Lynch DA, Page McAdams H, Samei E, Abadi E. Effects of Intra-patient Lung Volume Variability on CT-Based Emphysema Quantification: A Virtual Imaging Study. Acad Radiol. 2025 Aug; 32(8):4913-4921.
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Sollmann N, Mei K, Löffler MT, Rühling S, Beer M, Zimmer C, Kirschke JS, Noël PB, Baum T, Carballido-Gamio J. Simulated low-dose multi-detector computed tomography: spatial effects on surrogate parameters of bone strength at the proximal femur. Osteoporos Int. 2025 May; 36(5):917-928.
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Baraghoshi D, Strand MJ, Humphries SM, Lynch DA, Kaizer AM, Porras AR. Uncertainty-aware quantitative CT evaluation of emphysema and mortality risk from variable radiation dose images. Eur Radiol. 2025 Oct; 35(10):6115-6126.
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Hunter JG, Bera K, Ciancibello L, Bukhari SMA, Sposato J, Gilani KA, Gilkeson R, Gupta A. Real-world impact of high-pitch helical CT on radiation exposure and image quality in infants being evaluated for cardiothoracic pathologies. Pediatr Radiol. 2025 Jan; 55(1):151-158.
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Lancaster AC, Cardin ME, Nguyen JA, Mehta TI, Oncel D, Bai HX, Cohen KA, Lin CT. Utilizing Deep Learning and Computed Tomography to Determine Pulmonary Nodule Activity in Patients With Nontuberculous Mycobacterial-Lung Disease. J Thorac Imaging. 2024 May 01; 39(3):194-199.
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Konz N, Buda M, Gu H, Saha A, Yang J, Chledowski J, Park J, Witowski J, Geras KJ, Shoshan Y, Gilboa-Solomon F, Khapun D, Ratner V, Barkan E, Ozery-Flato M, Martí R, Omigbodun A, Marasinou C, Nakhaei N, Hsu W, Sahu P, Hossain MB, Lee J, Santos C, Przelaskowski A, Kalpathy-Cramer J, Bearce B, Cha K, Farahani K, Petrick N, Hadjiiski L, Drukker K, Armato SG, Mazurowski MA. A Competition, Benchmark, Code, and Data for Using Artificial Intelligence to Detect Lesions in Digital Breast Tomosynthesis. JAMA Netw Open. 2023 02 01; 6(2):e230524.
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