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.
To see the data from this visualization as text,
click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 1996 | 0 | 3 | 3 |
| 1998 | 0 | 1 | 1 |
| 1999 | 0 | 2 | 2 |
| 2001 | 2 | 0 | 2 |
| 2003 | 3 | 2 | 5 |
| 2004 | 2 | 3 | 5 |
| 2005 | 1 | 0 | 1 |
| 2006 | 2 | 3 | 5 |
| 2007 | 4 | 4 | 8 |
| 2008 | 1 | 1 | 2 |
| 2010 | 0 | 1 | 1 |
| 2012 | 2 | 1 | 3 |
| 2013 | 2 | 0 | 2 |
| 2014 | 0 | 1 | 1 |
| 2015 | 1 | 0 | 1 |
| 2016 | 4 | 1 | 5 |
| 2018 | 0 | 1 | 1 |
| 2020 | 3 | 0 | 3 |
| 2021 | 1 | 0 | 1 |
| 2023 | 0 | 1 | 1 |
| 2024 | 2 | 2 | 4 |
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Below are the most recent publications written about "Radiology Information Systems" by people in Profiles.
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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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Cybersecurity in radiology: Cautionary Tales, Proactive Prevention, and What to do When You Get Hacked. Curr Probl Diagn Radiol. 2025 Mar-Apr; 54(2):245-250.
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Introducing AEM-RADS: A novel reporting and data system for abdominal emergencies. Abdom Radiol (NY). 2024 Nov; 49(11):4175-4184.
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One Size Does Not Fit All: AI-assisted Reports Tailored to Provider Needs. Radiology. 2024 06; 311(3):e241254.
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Lung-Reporting and Data System 2.0: Impact of the Updated Approach to Juxtapleural Nodules During Lung Cancer Screening Using the National Lung Cancer Screening Trial Data Set. J Thorac Imaging. 2024 Jul 01; 39(4):241-246.
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Lung-RADS Version 1.1: Challenges and a Look Ahead, From the AJR Special Series on Radiology Reporting and Data Systems. AJR Am J Roentgenol. 2021 06; 216(6):1411-1422.
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Improved Utilization Following Conversion of a Fluoroscopy Suite to Hybrid CT/Angiography System. J Vasc Interv Radiol. 2020 11; 31(11):1857-1863.
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Ontology-Based Radiology Teaching File Summarization, Coverage, and Integration. J Digit Imaging. 2020 06; 33(3):797-813.
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Variability of the Positive Predictive Value of PI-RADS for Prostate MRI across 26 Centers: Experience of the Society of Abdominal Radiology Prostate Cancer Disease-focused Panel. Radiology. 2020 07; 296(1):76-84.
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The Effect of a Technologist-Centered Electronic Review and Feedback System on Image Quality. J Am Coll Radiol. 2018 Oct; 15(10):1437-1442.