Evidence map›Paper›PMID 42780499›Full record

ArticleAdvances in medical education and practice2026

Blended Learning with Holographic Imaging Support in Urologic Oncology Education for International Medical Students: A Controlled Educational Study.

Binbin Zhao, Xiaoyu Lu, Jianbin Bi, Lizhu Chen, Xin Jin, Mo Zhang

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Article in Advances in medical education and practice, 2026. 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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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Binbin Zhao *Department of Urology, the First Affiliated Hospital of China Medical University, Shenyang, People's Republic of China.ORCID 0009-0009-2333-8745
Xiaoyu Lu *Department of Urology, the First Affiliated Hospital of China Medical University, Shenyang, People's Republic of China.
Jianbin BiDepartment of Urology, the First Affiliated Hospital of China Medical University, Shenyang, People's Republic of China.ORCID 0000-0002-7703-4765
Lizhu ChenDepartment of Ultrasound, Shengjing Hospital Affiliated to China Medical University, Shenyang, People's Republic of China.
Xin JinDepartment of Urology, The Second Xiangya Hospital, Central South University, Changsha, People's Republic of China.
Mo ZhangDepartment of Urology, the First Affiliated Hospital of China Medical University, Shenyang, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Teaching urologic oncology to international medical students is challenging because the content is anatomically complex, clinically applied, and often learned in a second-language environment. This study evaluated whether a blended-learning intervention with holographic imaging support improved theoretical knowledge and performance on case-analysis questions. Patients and methods: In this single-center, parallel-group randomized controlled educational study conducted between April and June 2024, 80 international undergraduate medical students were randomly assigned in a 1:1 ratio to an intervention group receiving blended learning with holographic imaging support or a control group receiving conventional teacher-centered instruction using a computer-generated allocation sequence prepared in Microsoft Excel (40 students per group). Holographic imaging included QR-code-linked three-dimensional models, HoloLens-supported interactive exploration, and surgical videos with holographic navigation. Outcomes included a post-module assessment and an anonymous learner-perception questionnaire. Results: The intervention group achieved a significantly higher overall score than the control group (92.71 ± 1.25 vs 85.69 ± 3.15, P < 0.001). This difference was driven mainly by performance on case-analysis questions (47.66 ± 1.80 vs 41.75 ± 3.70, P < 0.001), whereas theoretical essay scores did not differ significantly (45.06 ± 1.77 vs 43.94 ± 3.99, P = 0.111). Learner-perception responses were more favorable in the intervention group across all six items after Holm adjustment (adjusted P ≤ 0.039). Conclusion: Blended learning with holographic imaging support was associated with higher overall and case-analysis scores and more favorable learner perceptions, whereas theoretical essay scores did not differ significantly. This approach may be useful for teaching spatially complex content in urologic oncology, although larger multicenter studies with longer follow-up are warranted.

Indexed as

blended learningcase-based reasoningholographic imaginginternational studentsurologic oncology

Identifiers

PMID42780499
PMCPMC13598278

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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.