Image Interpretation, Computer-Assisted
"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.
Methods developed to aid in the interpretation of ultrasound, radiographic images, etc., for diagnosis of disease.
| Descriptor ID |
D007090
|
| MeSH Number(s) |
E01.158.600 E01.370.350.350 L01.313.500.750.100.158.600
|
| Concept/Terms |
Image Interpretation, Computer-Assisted- Image Interpretation, Computer-Assisted
- Computer-Assisted Image Interpretation
- Computer-Assisted Image Interpretations
- Image Interpretations, Computer-Assisted
- Interpretation, Computer-Assisted Image
- Interpretations, Computer-Assisted Image
- Image Interpretation, Computer Assisted
|
Below are MeSH descriptors whose meaning is more general than "Image Interpretation, Computer-Assisted".
Below are MeSH descriptors whose meaning is more specific than "Image Interpretation, Computer-Assisted".
This graph shows the total number of publications written about "Image Interpretation, Computer-Assisted" by people in this website by year, and whether "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 |
|---|
| 1999 | 0 | 1 | 1 |
| 2003 | 3 | 1 | 4 |
| 2005 | 15 | 1 | 16 |
| 2006 | 3 | 1 | 4 |
| 2007 | 6 | 1 | 7 |
| 2008 | 1 | 5 | 6 |
| 2009 | 9 | 5 | 14 |
| 2010 | 9 | 2 | 11 |
| 2011 | 0 | 6 | 6 |
| 2012 | 9 | 3 | 12 |
| 2013 | 7 | 5 | 12 |
| 2014 | 6 | 3 | 9 |
| 2015 | 3 | 11 | 14 |
| 2016 | 7 | 4 | 11 |
| 2017 | 1 | 6 | 7 |
| 2018 | 4 | 6 | 10 |
| 2019 | 2 | 5 | 7 |
| 2020 | 4 | 3 | 7 |
| 2021 | 1 | 1 | 2 |
| 2022 | 0 | 1 | 1 |
| 2024 | 1 | 6 | 7 |
| 2025 | 2 | 0 | 2 |
| 2026 | 1 | 0 | 1 |
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Below are the most recent publications written about "Image Interpretation, Computer-Assisted" by people in Profiles.
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Optimizing and evaluating robustness of AI for brain metastasis detection and segmentation via loss functions and multi-dataset training. Biomed Phys Eng Express. 2026 Jan 06; 12(1).
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Intervendor agreement for left atrial strain via speckle tracking echocardiography in pediatrics. Int J Cardiovasc Imaging. 2025 Dec; 41(12):2457-2467.
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Brain Microstructure Interrogation by Diffusion Tensor and Kurtosis Imaging in Progressive Supranuclear Palsy Subtypes. J Neuroimaging. 2025 May-Jun; 35(3):e70062.
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Development and Validation of a Modality-Invariant 3D Swin U-Net Transformer for Liver and Spleen Segmentation on Multi-Site Clinical Bi-parametric MR Images. J Imaging Inform Med. 2025 Oct; 38(5):2688-2699.
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AI-Assisted Post Contrast Brain MRI: Eighty Percent Reduction in Contrast Dose. Acad Radiol. 2025 Aug; 32(8):4767-4776.
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Time-division multiplexing (TDM) sequence removes bias in T2 estimation and relaxation-diffusion measurements. Magn Reson Med. 2024 Dec; 92(6):2506-2519.
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Structural Heart Imaging Using 3-Dimensional Intracardiac Echocardiography: JACC: Cardiovascular Imaging Position Statement. JACC Cardiovasc Imaging. 2025 Jan; 18(1):93-115.
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Reproducibility and prognostic ability of chronicity parameters in kidney biopsy - Comprehensive evaluation comparing microscopy and artificial intelligence in digital pathology. Hum Pathol. 2024 04; 146:75-85.
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Fetal left and right ventricular strain parameters using speckle tracking in congenital heart diseases. Int J Cardiovasc Imaging. 2024 Jun; 40(6):1235-1243.
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Automated abdominal adipose tissue segmentation and volume quantification on longitudinal MRI using 3D convolutional neural networks with multi-contrast inputs. MAGMA. 2024 Jul; 37(3):491-506.