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Augmented Reality in Learning Anatomy: The TEACHANATOMY Randomized Cross-over Trial

No phase Interventional Augmented Reality Anatomy Education

For patients and families

In plain language

An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.

What is being studied
The protocol lists: learning with augmented reality, learning with traditional methods.
Who it may be relevant to
Registry conditions: Augmented Reality, Anatomy Education. Basic parameters: 18 years — 25 years · All.
What needs checking
Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
Where it takes place
Center list to be confirmed — check the primary protocol.
Next step
Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
Official title

Hologram-Based Augmented Reality in Learning Anatomy: The TEACHANATOMY Randomized Cross-over Trial

Overview

Cadaver use in anatomy education is undergoing several limitations in many universities, due to high costs, time constraints and supply difficulties. As alternatives to cadaver dissections, new teaching methods based on visual technologies, such as augmented reality (AR), are being implemented worldwide. Augmented reality (AR), based on virtual interactive 3-dimensional elements (holograms) overlaid in the real-world, represents a promising alternative to explore the human body. In this study, we will test the efficacy of AR as an alternative teaching method in anatomy education by comparing traditional learning methods based on 2-dimensional (2D) images, videos, and online learning programs with the novel AR learning module The primary endpoint will consist of the score in the final theoretical and practical knowledge tests, assessed at two timepoints: immediately after the study session and after 3 months. Secondary endpoints will include adverse health symptoms and user experience, assessed immediately after the study session.

Detailed description

Cadaver use in anatomy education is undergoing several limitations in many universities, due to high costs, time constraints and supply difficulties. As alternatives to cadaver dissections, new teaching methods based on visual technologies, such as augmented reality (AR), are being implemented worldwide.

Augmented reality (AR), based on virtual interactive 3-dimensional elements (holograms) overlaid in the real-world, represents a promising alternative to explore the human body. In this study, we will test the efficacy of AR as an alternative teaching method in anatomy education. Our hypothesis is that learning with AR is more efficient than traditional learning methods.

Preparation: We will prepare 2 fresh-frozen cadaveric specimens to allow visualization of anatomical structure of the shoulder and hips. The cadavers will be obtained from a human body donated for university teaching activities. Using a digital single-lens reflex camera, we will acquire several images. These images will be then converted into a 3D model by the ROCS team at Balgrist University Hospital and optimized for use with the Magic Leap AR headset.

Procedure: Participants (approx. 300) will be randomly assigned to the AR or the traditional learning (TL) group. Each participant will learn one anatomy module with traditional learning methods, which will include books, access to websites, 3D videos, and online learning programs, and one module with the AR-based learning program. The two modules will be administered approximately 3 weeks apart.

Group A: Shoulder anatomy with traditional learning methods and hips anatomy with AR based 3D program.

Group B: Shoulder anatomy with AR based 3D program and hips anatomy with traditional learning methods.

The primary endpoint will consist of the score in the final theoretical and practical anatomy tests, assessed at two timepoints: immediately after the study session and after 3 months.

Secondary endpoints include adverse health symptoms, assessed with a Likert scale survey, and user experience, evaluated using an adapted NASA Task Load Index scale plus additional questions.

Interventions

  • Other learning with augmented reality
    Study presentation: participants will be given a 10-minute general introduction on the study followed by a 20 minutes tutorial to introduce the HoloLens 2 and the TEACHANATOMY learning platform. * Study session: The study session consists of three learning blocks of approximately 20 minutes each, plus a repetition block to assess the acquired knowledge. During the study session participants will be given no time constraints and free breaks. * Assessment test: Participants will be assessed with
  • Other learning with traditional methods
    * Study presentation: participants will be given a 10-minute general introduction on the study followed by a presentation to introduce the study session. * Study session: The study session consists of the learning resources most used by students: specific sections from four different neuroanatomy books, access to two websites, two 3D videos, and two online learning programs. During the study session participants will be given no time constraints and free breaks. * Assessment test: Participants w

Primary outcome measures

  • knowledge test [Time frame: immediately after the study session, day 1, and after three months]
Secondary outcome measures (2)
  • adverse health symptoms [Time frame: Immediately after the knowledge test, Day 1]
  • User experience [Time frame: Immediately after the Adverse health symptoms, Day 1]

Eligibility criteria

Inclusion criteria

  • Medical students attending the 1st or 2nd year of undergraduate medical education
  • Must not have prior anatomical education

Exclusion criteria

  • Epilepsy
  • Binocular vision disorder such as strabismus
  • Current head and/or neck injuries
  • Inflammation of the scalp and/or eye
  • Amputations or partial amputations of the hands

Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.

Healthy volunteers: Yes

Study design

Allocation
Randomized
Model
Crossover
Masking
Single blind
Primary purpose
Other

Study locations

Center list to be confirmed — check the primary protocol.

Publications

  • Stromberga Z, Phelps C, Smith J, Moro C. Teaching with Disruptive Technology: The Use of Augmented, Virtual, and Mixed Reality (HoloLens) for Disease Education. Adv Exp Med Biol. 2021;1317:147-162. doi: 10.1007/978-3-030-61125-5_8. PMID 33945136
  • Bolek KA, De Jong G, Henssen D. The effectiveness of the use of augmented reality in anatomy education: a systematic review and meta-analysis. Sci Rep. 2021 Jul 27;11(1):15292. doi: 10.1038/s41598-021-94721-4. PMID 34315955
  • Chytas D, Johnson EO, Piagkou M, Mazarakis A, Babis GC, Chronopoulos E, Nikolaou VS, Lazaridis N, Natsis K. The role of augmented reality in Anatomical education: An overview. Ann Anat. 2020 May;229:151463. doi: 10.1016/j.aanat.2020.151463. Epub 2020 Jan 21. PMID 31978568
  • Curran VR, Xu X, Aydin MY, Meruvia-Pastor O. Use of Extended Reality in Medical Education: An Integrative Review. Med Sci Educ. 2022 Dec 19;33(1):275-286. doi: 10.1007/s40670-022-01698-4. eCollection 2023 Feb. PMID 36569366
  • Gsaxner C, Li J, Pepe A, Jin Y, Kleesiek J, Schmalstieg D, Egger J. The HoloLens in medicine: A systematic review and taxonomy. Med Image Anal. 2023 Apr;85:102757. doi: 10.1016/j.media.2023.102757. Epub 2023 Jan 21. PMID 36706637
  • McBain KA, Habib R, Laggis G, Quaiattini A, M Ventura N, Noel GPJC. Scoping review: The use of augmented reality in clinical anatomical education and its assessment tools. Anat Sci Educ. 2022 Jul;15(4):765-796. doi: 10.1002/ase.2155. Epub 2022 Jan 19. PMID 34800073
  • Moro C, Birt J, Stromberga Z, Phelps C, Clark J, Glasziou P, Scott AM. Virtual and Augmented Reality Enhancements to Medical and Science Student Physiology and Anatomy Test Performance: A Systematic Review and Meta-Analysis. Anat Sci Educ. 2021 May;14(3):368-376. doi: 10.1002/ase.2049. Epub 2021 Feb 26. PMID 33378557
  • Navab N, Martin-Gomez A, Seibold M, Sommersperger M, Song T, Winkler A, Yu K, Eck U. Medical Augmented Reality: Definition, Principle Components, Domain Modeling, and Design-Development-Validation Process. J Imaging. 2022 Dec 23;9(1):4. doi: 10.3390/jimaging9010004. PMID 36662102

Identifiers

NCT: NCT06552195 · TEACHANATOMY 2.0

Primary sources (government registries)

View this study on ClinicalTrials.gov ↗