Table · dataset · 2026
Table 1_Functional personalization in digital manufacturing: a translational framework for patient-specific implants, arthroscopic locators, and therapeutic constructs.xlsx
Listed in figshare
<p>Three-dimensional printing and digital manufacturing are increasingly used to produce patient-specific implants, surgical guides, arthroscopic locators, and therapeutic constructs.
Description
Yet the field is often described through a device-centered lens, emphasizing anatomical customization, printing accuracy, and material feasibility. This framing is becoming insufficient.
Patient-specific manufacturing should not be understood merely as the fabrication of individualized objects, but as a clinically executable workflow that translates imaging data into surgical action, regenerative therapy, and outcome-informed iteration. This Perspective proposes that the next stage of 3D printing in medicine depends on three conceptual shifts: from anatomical matching to functional and procedural optimization; from passive printed products to interfaces that carry digital planning into the operating room; and from isolated fabrication success to clinically validated, regulation-aware, and feedback-driven manufacturing systems.
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Orthopedic applications are used as a representative context, with particular attention to 3D-printed arthroscopic locators for knee arthroscopic anterior cruciate ligament reconstruction. This example illustrates how patient-specific design can move beyond open reconstruction into minimally invasive procedures, where accurate localization, reproducibility, and workflow compatibility are central. We further discuss therapeutic constructs, artificial intelligence, digital twins, point-of-care manufacturing, and translational barriers.
Rather than offering another broad review of 3D printing applications, this Perspective proposes a framework for defining success in patient-specific digital manufacturing as the reliable conversion of patient data into safe, reproducible, and clinically meaningful intervention.</p>
Links
Where it is published
- DOI doi.org/10.3389/fbioe.2026.1903071.s001 ↗
DOI / persistent id · from figshare com
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from figshare com
Topics
Provenance · 3 source records, 19 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| HKU DataHub · removed upstream | oai:figshare.com:article/34010370 | 13 d ago | JSON v1 |
| figshare | oai:figshare.com:article/34010370 | 13 d ago | JSON v1 |
| Loughborough Research Repository · removed upstream | oai:figshare.com:article/34010370 | 12 d ago | JSON v1 |
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|---|---|---|---|
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| concepts[modality].local:modality:imaging | enrichment · figshare com | keyword-concept-rules@1.0.0 | title+description (75%) |
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| description | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/description |
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| title | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/title |