Virtual cardiac models as a teaching tool for cardiac morphology

This study demonstrates that a novel teaching tool, virtual cardiac specimens, is equivalent to or more effective than many current materials for learning cardiac morphology. While they may not replace direct cadaveric specimen review, virtual models are an engaging alternative with the ability to reach a wider audience.

Authors

Jill J. Savla (ORCID: https://orcid.org/0000-0001-5639-9119)
Lindsay S. Rogers
S. La Scola
Matthew R. Nelson (ORCID: https://orcid.org/0000-0001-5089-5867)
Albert Chen (ORCID: https://orcid.org/0000-0002-9306-8703)
Ryan Moore (ORCID: https://orcid.org/0000-0003-4107-8659)
Meryl S. Cohen
Jeffrey Cimprich

Institutions

Cincinnati Children's Hospital Medical Center (US)
Children's Hospital of Philadelphia (US)

Publication Details

Journal: Cardiology in the Young
Published: 2025-03-20
DOI: https://doi.org/10.1017/s1047951125000071
Citations: 2
Primary Topic: Anatomy and Medical Technology
Type: article
Field-Weighted Citation Impact: 1.35

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article

Virtual cardiac models as a teaching tool for cardiac morphology

Jill J. Savla, Lindsay S. Rogers, S. La Scola, Matthew R. Nelson et al.

Mar 20, 2025

2 citations

Cardiology in the Young

Anatomy and Medical Technology

1.35

article

Virtual cardiac models as a teaching tool for cardiac morphology

Jill J. Savla, Lindsay S. Rogers, S. La Scola, Matthew R. Nelson, Albert Chen, Ryan Moore, Meryl S. Cohen, Jeffrey Cimprich

March 20, 2025article en

2 citations

Abstract

This study demonstrates that a novel teaching tool, virtual cardiac specimens, is equivalent to or more effective than many current materials for learning cardiac morphology. While they may not replace direct cadaveric specimen review, virtual models are an engaging alternative with the ability to reach a wider audience.

Cardiology in the YoungVol. 35(4)

Cincinnati Children's Hospital Medical Center (US), Children's Hospital of Philadelphia (US)

Openalex Percentile: Top 21%

Anatomy and Medical Technology

1.35

DOI Source OpenAlex

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