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Record W2357833138 · doi:10.18192/uojm.v6i1.1515

Three-Dimensional Printing and Medical Education: A Narrative Review of the Literature

2016· review· en· W2357833138 on OpenAlex
Michael Bartellas

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueUniversity of Ottawa Journal of Medicine · 2016
Typereview
Languageen
FieldEngineering
TopicAnatomy and Medical Technology
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsMedical educationNarrativeNarrative reviewMedicineSet (abstract data type)Computer scienceArt

Abstract

fetched live from OpenAlex

Objectives: Three-dimensional (3D) printing has emerged in the past decade as a promising tool for the world of medicine. The focus of this article is to review how 3D printed models have been used in medical education.Methods: PubMed was the article database used, and the search criteria included the terms 3D printing and education. The exclusion criteria filtered out articles that were older than ten years, were not in English, and did not target a human population. There were 90 discovered articles, and 38 appropriate articles were determined after reviewing titles and abstracts.Results: Three main themes emerged from this review: general medical education, surgical education, and patient education. The more specific findings can be further divided into: using 3D printed models for teaching anatomy and simulation training; and preop­erative planning, intraoperative guidance, and postoperative evaluation.Conclusions: The general consensus was that 3D haptic modelling was a useful tool for educating trainees, staff physicians, and pa­tients. The models helped in increasing participants’ understanding of anatomy and pathologies, and improving trainee skill set and confidence. There is much support to continue research in this area and to further develop ways in which 3D printing can help improve medical education. Objectifs : L’impression tridimensionnelle (3D) s’annonce comme un outil prometteur pour le monde de la médecine. Le présent ar­ticle révisera comment les méthodes d’impression 3D ont été utilisées dans l’éducation médicale.Méthodes : La base de données utilisée pour les articles fut PubMed et les critères de recherche ont inclus les termes impression 3D et éducation. Les critères d’exclusion ont omis des articles qui dataient de plus de dix ans, qui n’étaient pas en anglais, et qui n’avaient pas comme cible la population humaine. Il y a 90 articles qui furent trouvés en tout et 38 de ces articles ont été jugés adéquats pour la révision.Résultats : Trois grands thèmes ont été ressortis lors de cette révision : éducation médicale générale, éducation chirurgicale, et éduca­tion des patients. De façon plus précise, les thèmes spécifiques suivants furent dégagés : l’utilisation d’impression de modèles 3D pour l’enseignement de l’anatomie et la formation par simulation, la préparation préopératoire, le guide intraopératoire, et l’évaluation postopératoire.Conclusion : Les modèles haptiques 3D étaient reconnus comme un outil efficace pour éduquer les stagiaires, les médecins, et les patients. Ces modèles ont aidé à augmenter la compréhension de l’anatomie et de la pathologie des participants et ont augmenté la confiance et les habiletés des stagiaires. Ces preuves démontrent l’importance de continuer la recherche dans ce domaine afin de développer davantage de façons d’optimiser l’éducation médicale à l’aide de l’impression tridimensionnelle.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.929
Threshold uncertainty score0.459

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.008
GPT teacher head0.257
Teacher spread0.249 · 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