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Record W4410851716 · doi:10.2106/jbjs.oa.25.00062

The Use of 3D Printing as an Educational Tool in Orthopaedics

2025· review· en· W4410851716 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJBJS Open Access · 2025
Typereview
Languageen
FieldEngineering
TopicAnatomy and Medical Technology
Canadian institutionsMcGill UniversityShriners Hospitals for Children - Canada
Fundersnot available
Keywords3d printedModalitiesMedical physicsMedicineOrthopedic surgeryLearning curveUsabilityMedical educationSurgical planningComputer scienceSurgeryBiomedical engineeringHuman–computer interaction

Abstract

fetched live from OpenAlex

Background: Three-dimensional (3D) printing has proven to be effective in orthopaedic surgery, improving both surgical planning and outcomes. Despite its increasing use in surgical programs, reviews evaluating its educational impact are sparse. Therefore, the aim of this review was to provide educators with evidence-based findings on 3D printing's potential in training junior surgeons, as well as discuss its benefits in enhancing patient communication. Methods: A comprehensive search using PubMed and Web of Science databases was performed to identify articles related to orthopaedics, 3D printing, and education. After removing duplicates, 2,160 articles were screened, 152 underwent full-text review, and 50 met inclusion criteria. Articles discussed the impact of 3D-printed models on comprehension or surgical performance. Data on publication details, sample size, teaching focus, learning outcomes, costs, and conclusions were extracted. Learning effects in the control (didactic) and experimental (3DP) groups were compared. Results: In fracture management training, studies demonstrated significantly improved fracture classification accuracy, surgical performance, and interobserver classification agreement with 3D models compared with didactic learning and traditional imaging modalities. These benefits were particularly evident in cases of complex fractures and junior trainees. In arthroscopy, 3D-printed simulators improved procedural accuracy and were more cost-effective than virtual reality simulators and cadaveric laboratory results. Three-dimensionally printed simulators were also assessed for skills related to spine surgery, in which trainees demonstrated clear learning curve improvements for pedicle screw placement and osteotomy techniques, as well as a better understanding of vital paraspinal structures. The application of 3D printing in patient education was equally promising, as it facilitated the process of informed consent, ultimately promoting shared decision making. Conclusion: The use of 3D-printed models offers effective and customizable methods for developing essential surgical skills. Future research should focus on larger, more diverse study populations and should include long-term follow-up to better assess the impact of 3D printing on education and patient outcomes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.993
Threshold uncertainty score0.465

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.110
GPT teacher head0.457
Teacher spread0.347 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it