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 |
|---|
| 1995 | 4 | 1 | 5 |
| 1996 | 4 | 2 | 6 |
| 1997 | 1 | 3 | 4 |
| 1998 | 6 | 0 | 6 |
| 1999 | 0 | 1 | 1 |
| 2000 | 1 | 2 | 3 |
| 2001 | 1 | 2 | 3 |
| 2002 | 10 | 0 | 10 |
| 2003 | 9 | 1 | 10 |
| 2004 | 21 | 3 | 24 |
| 2005 | 21 | 4 | 25 |
| 2006 | 18 | 7 | 25 |
| 2007 | 13 | 2 | 15 |
| 2008 | 12 | 3 | 15 |
| 2009 | 9 | 7 | 16 |
| 2010 | 7 | 1 | 8 |
| 2011 | 6 | 8 | 14 |
| 2012 | 6 | 2 | 8 |
| 2013 | 8 | 1 | 9 |
| 2014 | 5 | 3 | 8 |
| 2015 | 5 | 4 | 9 |
| 2016 | 2 | 0 | 2 |
| 2017 | 1 | 6 | 7 |
| 2018 | 2 | 0 | 2 |
| 2019 | 3 | 2 | 5 |
| 2020 | 4 | 2 | 6 |
| 2021 | 1 | 1 | 2 |
| 2022 | 1 | 0 | 1 |
| 2023 | 0 | 2 | 2 |
| 2024 | 1 | 4 | 5 |
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Below are the most recent publications written about "Radiographic Image Interpretation, Computer-Assisted" by people in Profiles.
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Precise Image-level Localization of Intracranial Hemorrhage on Head CT Scans with Deep Learning Models Trained on Study-level Labels. Radiol Artif Intell. 2024 Nov; 6(6):e230296.
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Convolutional Neural Networks for Segmentation of Pleural Mesothelioma: Analysis of Probability Map Thresholds (CALGB 30901, Alliance). J Imaging Inform Med. 2025 Apr; 38(2):967-978.
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Automated segmentation of ventricular volumes and subarachnoid hemorrhage from computed tomography images: Evaluation of a rule-based pipeline approach. Neuroradiol J. 2025 Feb; 38(1):30-43.
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Optimizing dual-energy CT technique for iodine-based contrast-to-noise ratio, a theoretical study. Med Phys. 2024 Apr; 51(4):2871-2881.
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Can AI generate diagnostic reports for radiologist approval on CXR images? A multi-reader and multi-case observer performance study. J Xray Sci Technol. 2024; 32(6):1465-1480.
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Ascending Aorta 4D Time to Peak Distention Sexual Dimorphism and Association with Coronary Plaque Burden Severity in Women. J Cardiovasc Transl Res. 2024 04; 17(2):298-307.
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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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Quantitative measurements of emphysema in ultra-high resolution computed tomography using model-based iterative reconstruction in comparison to that using hybrid iterative reconstruction. Phys Eng Sci Med. 2022 Mar; 45(1):115-124.
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AI-Based Quantitative CT Analysis of Temporal Changes According to Disease Severity in COVID-19 Pneumonia. J Comput Assist Tomogr. 2021 Nov-Dec 01; 45(6):970-978.
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Post-Trial Enhanced Deployment and Technical Performance with the MISTIE Procedure per Lessons Learned. J Stroke Cerebrovasc Dis. 2021 Sep; 30(9):105996.