 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
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| MeSH Number(s) |
E01.158.600 E01.370.350.350 L01.313.500.750.100.158.600
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| 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
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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 | | 2001 | 0 | 1 | 1 | | 2003 | 0 | 1 | 1 | | 2004 | 6 | 1 | 7 | | 2005 | 4 | 1 | 5 | | 2006 | 9 | 2 | 11 | | 2007 | 7 | 3 | 10 | | 2008 | 6 | 5 | 11 | | 2009 | 11 | 4 | 15 | | 2010 | 7 | 4 | 11 | | 2011 | 9 | 2 | 11 | | 2012 | 8 | 9 | 17 | | 2013 | 9 | 2 | 11 | | 2014 | 6 | 6 | 12 | | 2015 | 7 | 6 | 13 | | 2016 | 10 | 7 | 17 | | 2017 | 8 | 6 | 14 | | 2018 | 6 | 4 | 10 | | 2019 | 5 | 4 | 9 | | 2020 | 4 | 1 | 5 | | 2021 | 3 | 1 | 4 | | 2022 | 0 | 1 | 1 | | 2023 | 0 | 1 | 1 | | 2024 | 0 | 5 | 5 | | 2025 | 1 | 2 | 3 |
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Below are the most recent publications written about "Image Interpretation, Computer-Assisted" by people in Profiles.
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Ahmed SR, Befano B, Egemen D, Rodriguez AC, Desai KT, Jeronimo J, Ajenifuja KO, Clark C, Perkins R, Campos NG, Inturrisi F, Wentzensen N, Han P, Guillen D, Norman J, Goldstein AT, Madeleine MM, Donastorg Y, Schiffman M, de Sanjose S, Kalpathy-Cramer J. Generalizable deep neural networks for image quality classification of cervical images. Sci Rep. 2025 Feb 21; 15(1):6312.
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Tompkins RM, Fujiwara T, Schrauben EM, Browne LP, van Schuppen J, Clur SA, Friesen RM, Englund EK, Barker AJ, van Ooij P. Third trimester fetal 4D flow MRI with motion correction. Magn Reson Med. 2025 May; 93(5):1969-1983.
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Naga Karthik E, Valo?ek J, Smith AC, Pfyffer D, Schading-Sassenhausen S, Farner L, Weber KA, Freund P, Cohen-Adad J. SCIseg: Automatic Segmentation of Intramedullary Lesions in Spinal Cord Injury on T2-weighted MRI Scans. Radiol Artif Intell. 2025 01; 7(1):e240005.
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Shankar N, Kreiger PA, Oldridge DA, Picarsic J, Arnold MA. Digital Pathology and Artificial Intelligence in Pediatric Pathology. Surg Pathol Clin. 2025 Jun; 18(2):397-406.
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Fujiwara T, Malone LJ, Chatfield KC, Berthusen A, Fonseca B, Browne LP, Barker AJ. Assessment of abnormal transvalvular flow and wall shear stress direction for pediatric/young adults with bicuspid aortic valve: A cross-sectional four-dimensional flow study. J Cardiovasc Magn Reson. 2024 Winter; 26(2):101102.
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Do HP, Lockard CA, Berkeley D, Tymkiw B, Dulude N, Tashman S, Gold G, Gross J, Kelly E, Ho CP. Improved Resolution and Image Quality of Musculoskeletal Magnetic Resonance Imaging using Deep Learning-based Denoising Reconstruction: A Prospective Clinical Study. Skeletal Radiol. 2024 Dec; 53(12):2585-2596.
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Maki JH, Patel NU, Ulrich EJ, Dhaouadi J, Jones RW. Part II: Effect of different evaluation methods to the application of a computer-aided prostate MRI detection/diagnosis (CADe/CADx) device on reader performance. Curr Probl Diagn Radiol. 2024 Sep-Oct; 53(5):614-623.
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Maki JH, Patel NU, Ulrich EJ, Dhaouadi J, Jones RW. Part I: prostate cancer detection, artificial intelligence for prostate cancer and how we measure diagnostic performance: a comprehensive review. Curr Probl Diagn Radiol. 2024 Sep-Oct; 53(5):606-613.
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Rojansky R, Jhun I, Dussaq AM, Chirieleison SM, Nirschl JJ, Born D, Fralick J, Hetherington W, Kerr AM, Lavezo J, Lawrence DB, Lummus S, Macasaet R, Montine TJ, Ryan E, Shen J, Shoemaker J, Tan B, Vogel H, Waraich PS, Yang E, Young A, Folkins A. Rapid Deployment of Whole Slide Imaging for Primary Diagnosis in Surgical Pathology at Stanford Medicine: Responding to Challenges of the COVID-19 Pandemic. Arch Pathol Lab Med. 2023 03 01; 147(3):359-367.
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Medina S, Ihrie RA, Irish JM. Learning cell identity in immunology, neuroscience, and cancer. Semin Immunopathol. 2023 01; 45(1):3-16.
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