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Objectives: Two limitations of the clinical use of 3-dimensional (3D) reconstruction and virtual reality systems are the relatively high cost and the amount of experience required to use hardware and software to effectively explore medical images. We have tried to simplify the process and validate a new tool developed for this purpose with a novel software package.
Methods: Five patients with right partial anomalous pulmonary venous return with adequate preoperative images acquired with magnetic resonance imaging were enrolled. Five volunteers with no previous experience in the field of 3D reconstruction were instructed to use the software after viewing a short video tutorial. Users were then asked to create a 3D model of each patient's heart using DIVA software. Their results were compared quantitatively and qualitatively with a benchmark reconstruction performed by an experienced user.
Results: All our participants recreated 3D models in a relatively short time, maintaining a good overall quality (average quality score ≥ 3 on a scale of 1-5). The overall trend of all the parameters analysed showed a statistical improvement between case 1 and case 5, as users became more and more experienced.
Conclusions: DIVA is a simple software program that allows accurate 3D reconstruction in a relatively short time ("fast-track" virtual reality). In this study, we demonstrated the potential use of DIVA by inexperienced users, with a significant improvement in quality and time after a few cases were performed. Further studies are needed to confirm the potential application of this technology on a larger scale.
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http://dx.doi.org/10.1093/icvts/ivad087 | DOI Listing |
Prehosp Disaster Med
September 2025
CACI, Inc, Falls Church, VirginiaUSA.
Introduction: Targeted identification, effective triage, and rapid hemorrhage control are essential for optimal outcomes of mass-casualty incidents (MCIs). An important aspect of Emergency Medical Service (EMS) care is field triage, but this skill is difficult to teach, assess, and research.
Study Objective: This study assessed triage efficacy and hemorrhage control of emergency responders from different professions who used the Sort, Assess, Life-Saving Treatment (SALT) triage algorithm in a virtual reality (VR) simulation of a terrorist subway bombing.
Korean J Med Educ
September 2025
Clinical Skills Department and IMU Centre of Education, IMU University, Bukit Jalil, Malaysia.
Korean J Med Educ
September 2025
Laboratory of Mathematics, Artificial Intelligence, and Digital Learning, Hassan II University of Casablanca, Casablanca, Morocco.
Purpose: This study explores how immersive simulation-based learning affects nursing students' engagement, motivation, satisfaction, self-confidence, and knowledge gains in anatomy education.
Methods: A quasi-experimental study was carried out from January to February 2025 among nursing students. A total of 76 participants were randomly assigned to one of two groups: an experimental group receiving immersive simulation (n=38) and a control group following traditional instruction (n=38).
J Dent Educ
September 2025
Department of Oral and Maxillofacial Surgery, Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, P. R. China.
Background: Virtual reality (VR) and artificial intelligence (AI) technologies have advanced significantly over the past few decades, expanding into various fields, including dental education.
Purpose: To comprehensively review the application of VR and AI technologies in dentistry training, focusing on their impact on cognitive load management and skill enhancement. This study systematically summarizes the existing literature by means of a scoping review to explore the effects of the application of these technologies and to explore future directions.
Eur J Neurosci
September 2025
Experimental Psychology I, Institute of Psychology, Osnabrück University, Osnabrück, Germany.
Initial findings linking Virtual Reality (VR)-based encoding to increased recollection at retrieval remain inconclusive due to heterogeneous study designs and dependence on behavioral data. To clarify under which circumstances VR-based encoding affects or enhances episodic memory retrieval, the fundamental question remains whether the encoding modality, i.e.
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