ArticleComputational and structural biotechnology journal2025
A DICOM-based standard for quantitative physical rehabilitation.
Article in Computational and structural biotechnology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed.
- AI-Powered Analysis of Eye Tracker Data in Basketball Game.Sensors (Basel, Switzerland) · 2025Article
- Article
- CKATool: A clinical kinematic analysis toolbox for upper limb rehabilitation.Computational and structural biotechnology journal · 2025Article
- A DICOM-based standard for quantitative physical rehabilitation.Computational and structural biotechnology journal · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Physical rehabilitation (PR) is a critical medical discipline traditionally reliant on qualitative data for procedure evaluation. Recent scientific and technological advances have provided innovative instruments and methods for measuring and evaluating PR objectively through Quantitative PR (QPR). However, the lack of a standard data format creates several challenges. These include limited interoperability between devices, difficulties in maintaining patient histories, inability to perform temporal evaluations or inter-patient comparisons, barriers to data sharing, challenges in creating common evaluation scales for therapists, and limitations in statistical analysis. This article proposes a DICOM Information Object Definition (IOD) for QPR, referred to as PR-IOD, and describes its architecture. DICOM is an established standard initially created for medical imaging, but it has recently been extended to other areas of medicine. Its primary goals are to facilitate data sharing among various devices, manage associated processes, and ensure interoperability among systems and specialists by generating structured data. The implemented PR-IOD architecture has been applied to manage data by a multiple-source hand-tracking device, the Virtual Glove (VG), used for hand rehabilitation. The corresponding DICOM files have been generated, loaded, and visualized alongside a viewer dashboard specifically tailored for PR-IOD. The source code is available at [1].
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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.