Evidence map›Paper›PMID 42085666›Full record

Trial reportJMIR medical education2026

Use of 3D-Printed Models and Augmented Reality in Medical Student Education of Congenital Heart Disease: Randomized Controlled Trial.

Tyler Langenfeld, Gabriel N Bahrami, Yea-Lyn Pak, Susanne Wish-Baratz, Yuxi Zhu, Arpit Agarwal

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in JMIR medical education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Tyler Langenfeld *Department of Pediatrics, Rainbow Babies & Children's Hospital, Cleveland, OH, United States.ORCID 0009-0003-8910-7823
Gabriel N Bahrami *Department of Pediatric Cardiology, Rainbow Babies & Children's Hospital, 2101 Adelbert rd, Cleveland, OH, 44106, United States, 1 347-277-3021.ORCID 0009-0003-9414-7715
Yea-Lyn PakSchool of Medicine, Case Western Reserve University, Cleveland, OH, United States.ORCID 0000-0002-8056-0862
Susanne Wish-BaratzSchool of Medicine, Case Western Reserve University, Cleveland, OH, United States.ORCID 0000-0002-6353-5374
Yuxi ZhuDepartment of Pediatrics, Rainbow Babies & Children's Hospital, Cleveland, OH, United States.ORCID 0000-0003-4562-6456
Arpit AgarwalDepartment of Pediatric Cardiology, Rainbow Babies & Children's Hospital, 2101 Adelbert rd, Cleveland, OH, 44106, United States, 1 347-277-3021.ORCID 0000-0002-0153-4173

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Three-dimensional modalities are increasingly being used as adjuncts for medical trainees learning about complex anatomical concepts, such as congenital heart disease. Objective: This study aimed to evaluate the use of 2 such modalities, 3D-printed models, and augmented reality (AR), in improving medical students' understanding and knowledge retention of congenital heart disease when compared to traditional teaching methods. Methods: A prospective cohort pilot study was performed with 26 first-year medical students. Students were randomly assigned to receive a 30-minute teaching session using traditional slide-based lecture, 3D-printed model, or AR. Participants completed a 16-question pretest consisting of 4 basic general cardiology questions and 6 questions each regarding the anatomy and physiology of tetralogy of Fallot and hypoplastic left heart syndrome. Participants completed a posttest immediately following the teaching session, as well as a delayed posttest 3 weeks later. Results: When comparing overall and subsection posttest scores, the AR group obtained perfect immediate posttest scores at a significantly increased rate compared to the lecture and 3D model groups (6/9, 67% vs 1/8, 13% and 1/9, 11%, respectively; large effect size Cramér V=0.57; P=.02). Participants in the lecture group reported difficulty understanding cardiac anatomy and physiology using only 2D diagrams, whereas those in the 3D-printed model and AR groups almost unanimously reported improved visualization of complex cardiac defects, which enhanced their understanding. Conclusions: Due to the visuospatial benefits of 3D-printed models and AR, there is potential for use in medical education to improve students' knowledge of complex anatomical and physiological concepts. Students who received teaching using 3D-printed models or AR overwhelmingly reported improved 3D visualization of congenital cardiac defects compared to those who were taught via lecture. Additionally, AR and 3D-printed models offer practical opportunities for implementation into medical education curricula as both adjunct and stand-alone teaching modalities.

Indexed as

Augmented RealityHeart Defects, CongenitalPrinting, Three-DimensionalStudents, MedicalAdultEducational MeasurementEducation, Medical, UndergraduateFemaleHumansMaleModels, AnatomicPilot ProjectsProspective Studies3D modelsaugmented realitycongenital heart diseasemedical educationteaching modalities

Identifiers

PMID42085666
PMCPMC13143156

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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.