ReviewOrthopadie (Heidelberg, Germany)2025
[Orthopaedics of the future : AI meets motion analysis: opportunities and risks].
Review in Orthopadie (Heidelberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
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
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- Stakeholder experience with artificial intelligence in healthcare: a bibliometric study of satisfaction, trust, acceptance, and patient engagement.Frontiers in digital health · 2026Pooled it
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWith the progress of digitalization and the rapid development of portable measurement systems, the integration of new technologies into clinical practice is inevitable. Considering the demographic change, the current healthcare system needs exactly this integration to appropriately address the growing challenges. Regarding orthopaedic patient care, the objective analysis of the musculoskeletal system represents an increasingly important aspect. Innovative key technologies are necessary to handle the amount of instrumental data and create new opportunities. While an enormous increase in efficiency, effectiveness and quality of care can be realized, potential risks from the application of artificial intelligence (AI) need to be considered.
methodsBased on a literature review using the PRISMA-method, specific opportunities for clinical integration are identified and potential risks are discussed.
resultsA total of 188 publications were included, of which 54 were analyzed in detail.
conclusionWhile the application of AI methods for the use of objective measurement systems opens a variety of opportunities in orthopaedic patient care, it is also associated with relevant risks. In order to address specific problems and achieve the primary goal of optimized healthcare, the appropriate use and the proper integration of AI methods are essential. It must be acknowledged that artificial intelligence can only play a supporting role, with transparency being the main criterion for trustworthy use in the healthcare sector.
Indexed as
Identifiers
What 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.