Radiology Information Systems
"Radiology Information Systems" 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.
Information systems, usually computer-assisted, designed to store, manipulate, and retrieve information for planning, organizing, directing, and controlling administrative activities associated with the provision and utilization of radiology services and facilities.
Descriptor ID |
D011873
|
MeSH Number(s) |
L01.313.500.750.300.680.900 N04.452.515.825
|
Concept/Terms |
Radiology Information Systems- Radiology Information Systems
- Information Systems, Radiology
- Radiology Information System
- System, Radiology Information
- Systems, Radiology Information
- Systems, Radiologic Information
- Information System, Radiology
- Information Systems, Radiologic
- Radiologic Information System
- Radiologic Information Systems
- System, Radiologic Information
- Information System, Radiologic
X-Ray Information Systems- X-Ray Information Systems
- Information System, X-Ray
- Information Systems, X-Ray
- System, X-Ray Information
- Systems, X-Ray Information
- X Ray Information Systems
- X-Ray Information System
- Xray Information Systems
- Information System, Xray
- Information Systems, Xray
- System, Xray Information
- Systems, Xray Information
- Xray Information System
|
Below are MeSH descriptors whose meaning is more general than "Radiology Information Systems".
Below are MeSH descriptors whose meaning is more specific than "Radiology Information Systems".
This graph shows the total number of publications written about "Radiology Information Systems" by people in this website by year, and whether "Radiology Information Systems" was a major or minor topic of these publications.
View timeline visualization
Year | Major Topic | Minor Topic | Total |
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1995 | 2 | 1 | 3 |
1996 | 3 | 1 | 4 |
1997 | 4 | 2 | 6 |
1998 | 3 | 0 | 3 |
2000 | 7 | 0 | 7 |
2001 | 4 | 0 | 4 |
2002 | 5 | 2 | 7 |
2003 | 11 | 1 | 12 |
2004 | 9 | 5 | 14 |
2005 | 4 | 4 | 8 |
2006 | 8 | 2 | 10 |
2007 | 11 | 8 | 19 |
2008 | 6 | 1 | 7 |
2009 | 6 | 1 | 7 |
2010 | 3 | 0 | 3 |
2011 | 3 | 1 | 4 |
2012 | 7 | 2 | 9 |
2013 | 5 | 3 | 8 |
2014 | 7 | 1 | 8 |
2015 | 11 | 3 | 14 |
2016 | 8 | 2 | 10 |
2017 | 12 | 2 | 14 |
2018 | 13 | 5 | 18 |
2019 | 9 | 2 | 11 |
2020 | 14 | 1 | 15 |
2021 | 3 | 1 | 4 |
2023 | 1 | 0 | 1 |
2024 | 2 | 11 | 13 |
2025 | 0 | 1 | 1 |
Below are the most recent publications written about "Radiology Information Systems" by people in Profiles.
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Understanding BI-RADS Category 3. Radiographics. 2025 Jan; 45(1):e240169.
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LI-RADS: Current Status and Future Directions. Korean J Radiol. 2024 Dec; 25(12):1039-1046.
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LI-RADS US Surveillance Version 2024 for Surveillance of Hepatocellular Carcinoma: An Update to the American College of Radiology US LI-RADS. Radiology. 2024 Dec; 313(3):e240169.
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Generating colloquial radiology reports with large language models. J Am Med Inform Assoc. 2024 Nov 01; 31(11):2660-2667.
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Inter-Reader Agreement for Contrast-Enhanced Ultrasound Liver Imaging Reporting and Data System Major Features and Final Categorization: A Subanalysis From a Prospective Multicenter Study. J Ultrasound Med. 2025 Feb; 44(2):349-357.
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An open-source fine-tuned large language model for radiological impression generation: a multi-reader performance study. BMC Med Imaging. 2024 Sep 27; 24(1):254.
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Interrater Agreement of BT-RADS for Evaluation of Follow-up MRI in Patients with Treated Primary Brain Tumor. AJNR Am J Neuroradiol. 2024 Sep 09; 45(9):1308-1315.
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Standardizing imaging findings representation: harnessing Common Data Elements semantics and Fast Healthcare Interoperability Resources structures. J Am Med Inform Assoc. 2024 Aug 01; 31(8):1735-1742.
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Perspectives on technology: Prostate Imaging-Reporting and Data System (PI-RADS) interobserver variability. BJU Int. 2024 Oct; 134(4):510-518.
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Patient Perceptions of Standardized Risk Language Used in ACR Prostate MRI PI-RADS Scores. J Am Coll Radiol. 2024 Oct; 21(10):1634-1642.