ArticleRadiologie (Heidelberg, Germany)2026
[Possibilities for integrating artificial intelligence into the diagnostic process].
Article in Radiologie (Heidelberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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
1 citing paper in PubMed.
- [National infrastructures and the European Health Data Space].Radiologie (Heidelberg, Germany) · 2026Review
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe changing working conditions in routine radiological reporting require the use of new methods, such as the implementation of artificial intelligence (AI) applications. RESEARCH QUESTION: What practical possibilities currently exist to integrate AI applications into existing imaging reporting processes? MATERIAL AND
methodsAssuming that the systems involved in the current reporting process, such as image management systems and various information systems, are to collaborate with AI applications, internationally recognized integration interfaces are required. The data exchanged also require standardized definitions to ensure interoperability across systems. Integration profiles as provided by Integrating the Healthcare Enterprise (IHE) offer a viable approach.
resultsThe IHE profiles, such as Scheduled Workflow.b (SWF.b) and AI Workflow for Imaging (AIW-I) enable the combination of traditional imaging processes from patient admission up to AI-supported image reporting. The AI Result Assessment (AIRA) profile ensures legally compliant usage of AI Results. The AIR profile defines interoperable AI result formats that can be distributed within a defined reporting context via the integrated reporting applications (IRA) profile. The Interactive Multimedia Report (IMR) profile supports the persistence of final reports. Additionally, various data format specifications are currently evolving toward the Fast Healthcare Interoperability Resources (FHIR) implementation guides for the Image Diagnostic Report and the EU Imaging Study Report. DISCUSSION: The incorporation and use of AI in imaging processes are practically achievable using IHE profiles; however, integration based on structured data remains challenging and is currently reserved for larger institutions with the necessary IT resources.
Indexed as
Identifiers
41848781What 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.