Insights into Imaging
E648725
Insights into Imaging is a peer-reviewed, open-access radiology journal that focuses on educational and review articles to advance imaging practice and research.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Insights into Imaging canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T7199732 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Insights into Imaging Context triple: [European Society of Radiology, publishes, Insights into Imaging]
-
A.
provide imaging-based diagnosis for patients of University Medical Center Göttingen
The Department of Radiology at University Medical Center Göttingen is a clinical and academic unit specializing in advanced medical imaging to support diagnosis, treatment planning, and patient care across the hospital.
-
B.
RadioGraphics
RadioGraphics is a peer-reviewed medical journal that focuses on educational review articles and imaging case studies in radiology.
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C.
IHE Radiology
IHE Radiology is a domain-specific initiative within Integrating the Healthcare Enterprise that defines standards-based workflows and interoperability profiles for radiology information and imaging systems.
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D.
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing is a leading peer-reviewed scientific journal covering theory, algorithms, and applications in the field of image and video processing.
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E.
IRE Transactions on Medical Electronics
IRE Transactions on Medical Electronics was a specialized scientific journal that published research on the development and application of electronic technologies in medicine and biomedical engineering.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Insights into Imaging Target entity description: Insights into Imaging is a peer-reviewed, open-access radiology journal that focuses on educational and review articles to advance imaging practice and research.
-
A.
provide imaging-based diagnosis for patients of University Medical Center Göttingen
The Department of Radiology at University Medical Center Göttingen is a clinical and academic unit specializing in advanced medical imaging to support diagnosis, treatment planning, and patient care across the hospital.
-
B.
RadioGraphics
RadioGraphics is a peer-reviewed medical journal that focuses on educational review articles and imaging case studies in radiology.
-
C.
IHE Radiology
IHE Radiology is a domain-specific initiative within Integrating the Healthcare Enterprise that defines standards-based workflows and interoperability profiles for radiology information and imaging systems.
-
D.
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing is a leading peer-reviewed scientific journal covering theory, algorithms, and applications in the field of image and video processing.
-
E.
IRE Transactions on Medical Electronics
IRE Transactions on Medical Electronics was a specialized scientific journal that published research on the development and application of electronic technologies in medicine and biomedical engineering.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
peer-reviewed journal
ⓘ
scientific journal ⓘ |
| academicDiscipline |
medical imaging
ⓘ
radiology ⓘ |
| accessModel | open access ⓘ |
| aimsTo |
bridge research and clinical imaging practice
ⓘ
provide educational content for radiologists ⓘ summarize advances in imaging ⓘ support best practices in radiology ⓘ |
| associatedWith | European Society of Radiology ⓘ |
| contentType |
educational articles
ⓘ
guidelines ⓘ original research articles ⓘ position papers ⓘ review articles ⓘ |
| countryOfPublication | Austria ⓘ |
| focusesOn |
advancing imaging practice
ⓘ
advancing imaging research ⓘ clinical radiology ⓘ evidence-based imaging ⓘ imaging protocols ⓘ imaging techniques ⓘ radiology education ⓘ |
| hasFormat | online journal ⓘ |
| language | English ⓘ |
| license | Creative Commons license ⓘ |
| publisher |
European Society of Radiology
ⓘ
Springer Nature ⓘ |
| reviewProcess | peer review ⓘ |
| subjectArea |
computed tomography
ⓘ
cross-sectional imaging ⓘ diagnostic imaging ⓘ hybrid imaging ⓘ interventional radiology ⓘ magnetic resonance imaging ⓘ nuclear medicine imaging ⓘ radiology guidelines and standards ⓘ radiology informatics ⓘ radiology management ⓘ radiology quality and safety ⓘ ultrasound imaging ⓘ |
| targetAudience |
clinicians using imaging
ⓘ
medical imaging researchers ⓘ radiologists ⓘ radiology trainees ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Insights into Imaging Description of subject: Insights into Imaging is a peer-reviewed, open-access radiology journal that focuses on educational and review articles to advance imaging practice and research.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.