ArticleDer Radiologe2013
[Why radiologists should be concerned with semantics].
Article in Der Radiologe, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- [Automatic segmentation and annotation in radiology].Der Radiologe · 2014Article
- [No exchange of information without technology : modern infrastructure in radiology].Der Radiologe · 2014Article
- [Current reporting in radiology : what will happen tomorrow?].Der Radiologe · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Radiological image and data archives contain huge amounts of data which are barely utilized by current technologies. In the future semantic technologies currently under development will enable analysis of the contents not only on the level of individual patients but also along entire data collections thereby resulting in new applications that will benefit routine clinical practice, teaching activities and research. As a prerequisite the development of software for semantic analysis of image and report contents is necessary, i.e. an "understanding" of the contents by the software. Based on specific ontologies, standardized protocols and semantic image annotation new systems will be developed that make the content of these data archives accessible and support diagnosis, quality assurance, innovative research applications and last not least, the merging of data of different medical disciplines, such as radiology, pathology and clinical chemistry.
Indexed as
Identifiers
23760620What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.