Evidence map›Paper›PMID 41208914›Full record

ArticleDigital health

Feasibility and initial clinical application of a digital health-enabled 3D VR education model to improve health literacy in thyroid surgery.

Jong-Hyuk Ahn, Soon Ho Yoon, Jong-Min Kim, Sulgina Kim, Young Hoon Jeong, Hyeonuk Hwang, Sang Joon Park, Su-Jin Kim, Kyu Eun Lee

Abstract read
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Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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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

9 authors.

Jong-Hyuk AhnDepartment of Surgery, Chung-Ang University Hospital & Chung-Ang University, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0003-0187-9777
Soon Ho YoonDepartment of Radiology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Republic of Korea.
Jong-Min KimDepartment of Radiology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Republic of Korea.
Sulgina KimData Science Division, MEDICAL IP, Co., Ltd, Seoul, Republic of Korea.
Young Hoon JeongDepartment of Surgery, Seoul National University Hospital, Seoul, Republic of Korea.
Hyeonuk HwangDepartment of Surgery, Ewha Womans University Medical Center, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0003-2239-2829
Sang Joon ParkDepartment of Radiology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Republic of Korea.
Su-Jin KimDepartment of Surgery, Seoul National University Hospital, Seoul, Republic of Korea.
Kyu Eun LeeDepartment of Surgery, Seoul National University Hospital, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Effective physician-patient communication is essential for improving health literacy and achieving optimal surgical outcomes. However, patients often struggle to interpret conventional two-dimensional (2D) imaging during preoperative counseling for thyroid surgery. This study assessed the feasibility of a ray-traced three-dimensional (3D) virtual reality (VR) educational model to enhance patient health literacy and satisfaction. Methods: A patient-specific ray-traced 3D VR educational model was developed using deep learning-based multi-organ segmentation of CT scans and rendered on flat monitors commonly available in outpatient clinics. A structured two-round counseling protocol was conducted: in the first round, conventional 2D CT images were used, and in the second round, the 3D VR model was presented. After counseling, patients completed a survey assessing comprehension and satisfaction by comparing the 3D VR educational model with 2D CT images. Results: All patients reported improved understanding of their condition after viewing the 3D VR educational model. Most participants (88.9%) expressed high satisfaction and willingness to use the model in future consultations. Conclusions: Ray-traced 3D VR educational models are feasible for improving patient health literacy during preoperative counseling. This digital technology-based approach offers a practical and scalable tool to support more informed, meaningful discussions and enhance patient understanding.

Indexed as

deep learningHealth educationhealth literacythree-dimensional imagingthyroidectomyvirtual reality

Identifiers

PMID41208914
PMCPMC12592662

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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.