ReviewBundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz2026
[Artificial intelligence and occupational participation in Germany: a narrative review].
Review in Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The literature shows that, despite existing limitations, artificial intelligence (AI) can provide new opportunities to support people with disabilities at work. However, the current state of research in Germany on the use of AI to facilitate participation in working life is unclear. The aim of this narrative review is therefore to provide an up-to-date overview of projects and publications conducted or published in Germany. A structured search was carried out in several databases and relevant websites covering the period from 2020 to 2025. Projects and publications focusing on the use of AI in an occupational context for people with disabilities were included. A thematic analysis was conducted to identify the opportunities and challenges associated with the use of AI. A total of 16 projects and 8 publications were identified. The analysis shows that AI can help to overcome barriers, for example by supporting work processes and promoting self-determination. At the same time, challenges become apparent, particularly regarding data protection, a lack of transparency in data processing, and potential additional personnel and financial resources required when using AI-supported (assistive) technologies. Based on the analysis of projects and publications, the article concludes with practical recommendations and implications for future research on the implementation of AI-based technologies to promote participation in working life.
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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.