SynthesisBiomedical engineering online2025
Smartphone and tablet-based 3D scanner for anthropometric assessments in adults: a systematic review of reliability, validity, and accuracy.
Synthesis in Biomedical engineering online, 2025. 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
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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.
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Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent advancements in smartphone and tablet-based 3D and 4D scanning technologies offer a promising alternative to traditional anthropometric methods, such as dual-energy X-ray absorptiometry (DXA), by enabling the generation of digital human models using accessible and cost-effective devices. This systematic review aims to evaluate the accuracy, validity, and reliability of anthropometric measurements obtained through smartphone and tablet-based 3D and 4D scanning technologies compared to conventional methods. A total of 2172 studies, no Meta-analysis, systematic reviews or reviews, were screened on March 11, 2025, across five databases (PubMed, Web of Science, Medline, Cochrane, and ScienceDirect), with 13 studies meeting the inclusion criteria. Included studies focused on healthy people above or 18 years old with only smartphone and tablet-based measurements and nothing like facial, dental dimensions or invasive techniques such as MRI and CT. Methodological quality was assessed by using the Joanna Briggs Institute appraisal tools. Key outcomes extracted include fat mass, body fat, body mass, fat free mass, waist-hip-ratio, appendicular lean mass and body height. Overall, reliability, for key anthropometric parameters such as fat mass, were strong (ICC > 0.9), validity high (R
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