EFFECTIVENESS OF 3D VIRTUAL DIGITAL CADAVER IN MEDICAL TRAINING.

The integration of virtual reality (VR) and simulation-based learning has significantly transformed modern medical education by providing immersive, interactive, and risk-free environments for skill development. Traditional anatomy teaching methods, particularly cadaveric dissection, have long been considered the cornerstone of medical training.1 However, advances in digital technology have introduced three-dimensional (3D) virtual digital cadavers as innovative educational tools that enhance anatomical visualization, learner engagement, and clinical understanding.2,3 3D virtual cadaver systems allow medical students to explore human anatomy in a detailed and repeatable manner without the limitations associated with conventional cadaveric dissection, such as limited availability, ethical concerns, specimen degradation, and high maintenance requirements.

 

Studies have shown that virtual anatomy platforms improve spatial understanding, knowledge retention, procedural confidence, and academic performance, especially in complex subjects like musculoskeletal and neurological anatomy.4,5,6 Many learners also report increased satisfaction and engagement when digital dissection is combined with traditional cadaver-based teaching. Simulation-based learning further strengthens medical training by enabling repetitive practice, immediate feedback,7 objective assessment, and exposure to diverse clinical scenarios without compromising patient safety. VR-assisted training has demonstrated improvements in surgical precision, operative speed, psychomotor skills, and clinical decision-making across multiple medical specialties. Despite these advantages, challenges such as high initial costs,8 technological limitations, and variability in skill transfer to real clinical settings continue to affect widespread implementation.

 

Nevertheless, with rapid technological advancement and increasing accessibility,9 3D virtual digital cadavers and VR-based simulation are emerging as valuable adjuncts to conventional medical education and are likely to play a major role in future medical training systems. Aims this study aimed to evaluate the impact of digital cadaver-based learning on knowledge acquisition, retention, and student satisfaction among Phase I MBBS students, compared with traditional cadaveric teaching.10.

Study design: Interventional study

 

Study setting: JMN Medical College, Chakdaha, Nadia, WB

 

Study period:  6 weeks

 

Study population: Phase I MBBS students

 

Sample size: To calculate the sample size for the study comparing two groups with significance level of 0.05, power of the study 80% & standard deviation 10, the sample size for each group comes as 63. We made two groups of students comprising 66 in each groups.

 

Sampling method: Purposive sampling.

Inclusion criteria: The students who appeared in 1st internal assessment examination and scored pass marks 50% and had 75% attendance and were willing to be the part of the study were included.

 

Exclusion criteria: The students who appeared in 1st internal assessment examination and scored less than pass marks 50% and had below 75% attendance and were not willing to be the part of the study were not included.

 

Ethical considerations:     

Clearance from the college scientific and ethical committees

Conflict of interest: None, no sponsorship or financial liabilities obtained from manufacturer of Digital cadaver used in the study.

 

Data collection & analysis methods:

Group Allocation

Participants were randomly assigned into two groups:

·         Group A (Intervention Group): Received training using Digital cadaver in addition to conventional cadaveric teaching and practical sessions.

·         Group B (Control Group): Received conventional cadaveric teaching and practical sessions.

·         Randomization was achieved using a computer-generated sequence.

 

Intervention

·         Group A (n=66): To Undergo structured digital cadaver-based training using Anatomage virtual dissection table. Each session lasted for 40-45 min and was repeated over several sessions depending upon the topic. In addition to standard lectures, video demonstrations, and hands-on sessions with faculty supervision on actual cadavers & viscera of the same topics.

·         Group B (n=66): To attend only standard lectures, video demonstrations, and hands-on sessions with faculty supervision on actual cadavers & viscera of the same topics.

 

Assessment Tools

1.             Pre- and Post-Test Knowledge Assessment: To be conducted using a validated multiple-choice questionnaire (MCQ) designed to test theoretical knowledge.

2.             Skill Performance Assessment: Objective Structured Practical Examination (OSPE) stations and the same validated multiple-choice questionnaire (MCQ) designed to test theoretical knowledge used for theoretical knowledge improvement, evaluated by blinded faculty assessors.

3.             Retention Test: Reassessment after 2 weeks to evaluate knowledge retention.

4.             Feedback and Satisfaction: Collected using a 5-point Likert scale questionnaire regarding the learning experience, engagement, and perceived usefulness.

 

Outcome Measures

·         Improvement in knowledge scores (pre- vs post-intervention) in both groups.

·         Retention of knowledge at follow-up.

·         Participant satisfaction and engagement.

 

Study Variable:

Independent Variable

•              3D Virtual Digital Cadaver-based learning method

•              Traditional cadaveric teaching method

 

Dependent Variables

•              Knowledge acquisition (pre-test and post-test scores)

•              Knowledge retention

•              Student satisfaction

•              Learner engagement

•              Confidence level

•              Perceived usefulness/effectiveness

 

Demographic Variables

•              Age

•              Gender

•              Academic year/Phase I MBBS status

 

Outcome Variables

•              Academic performance

•              Retention test scores

•              Student perception toward learning methods

 

Recommendations: Institutions should adopt hybrid teaching models, invest in faculty training, and explore scalable deployment strategies. Future research should focus on multicentric validation, longitudinal outcomes, and cost-effectiveness analyses to support widespread adoption.

 

Statistical Analysis: For statistical analysis, data were initially entered into a Microsoft Excel spreadsheet and then analysed using SPSS (version 27.0; SPSS Inc., Chicago, IL, USA) and GraphPad Prism (version 5). Numerical variables were summarized using means and standard deviations, while Data were entered into Excel and analyzed using SPSS and GraphPad Prism. Numerical variables were summarized using means and standard deviations, while categorical variables were described with counts and percentages. Two-sample t-tests were used to compare independent groups, while paired t-tests accounted for correlations in paired data. Chi-square tests (including Fisher’s exact test for small sample sizes) were used for categorical data comparisons. P-values ≤ 0.05 were considered statistically significant.

 

Table 1: Comparison of Mean Scores (Out of 25)

 

 

Table 2. Student Satisfaction Scores on a 5-Point Likert Scale:

 

Figure 1. Comparison of Test Scores between Digital Cadaver and Traditional Teaching Groups.

 

 

Figure 2. Comparative Student Satisfaction Scores on a 5‑Point Likert Scale.

 

A total of 132 Phase I MBBS students participated in the study and were equally divided into Group A (Digital Cadaver + Traditional Teaching) and Group B (Traditional Teaching Only). Pre-test scores showed no significant difference between Group A (10.2 ± 2.1) and Group B (10.0 ± 2.0) with a p-value of 0.58, indicating comparable baseline knowledge among students. Similarly, post-test scores were comparable between Group A (18.5 ± 2.3) and Group B (18.1 ± 2.5) with a p-value of 0.34, suggesting that both teaching approaches were equally effective for immediate knowledge acquisition. However, retention test scores conducted after two weeks revealed significantly higher scores in Group A (17.2 ± 2.4) compared with Group B (14.8 ± 2.6), with a highly significant p-value of <0.001, demonstrating superior long-term knowledge retention with the blended digital cadaver approach. Feedback analysis using a 5-point Likert scale showed that Group A consistently achieved higher ratings across satisfaction, engagement, confidence, and perceived usefulness domains, with mean scores ranging from 4.3 to 4.6, whereas Group B scored between 3.5 and 3.8. Students exposed to digital cadaver-based learning reported better visualization of anatomical structures, improved interactivity, easier repetition of concepts, and greater confidence in identifying complex anatomical regions, indicating that the blended teaching model enhanced overall learner experience and educational effectiveness compared with traditional teaching alone.

Figure 3. Digital Anatomy Classroom Using a Virtual Cadaver System (Faces Blurred).

 

Students and an instructor engage in an interactive anatomy session using a digital cadaver table and large wall‑mounted display. The setup demonstrates the integration of virtual dissection technology into medical education, enabling detailed visualization of anatomical structures without physical specimens. The environment reflects a modern, technology‑enhanced learning space that supports hybrid teaching approaches combining digital and traditional methods. All human faces are intentionally blurred to preserve participant anonymity.

The findings of the present study demonstrate that the integration of 3D virtual digital cadavers with traditional anatomy teaching significantly improves long-term knowledge retention, learner engagement, satisfaction, confidence, and perceived usefulness among Phase I MBBS students. Although immediate post-test performance was comparable between both groups, students exposed to blended digital cadaver-based learning achieved significantly higher retention scores after two weeks, suggesting better memory consolidation and deeper understanding of anatomical concepts. Similar findings were reported by Koucheki et al. [11],

 

who demonstrated that immersive virtual reality and cadaveric bone teaching were equally effective in skeletal anatomy education, supporting the educational value of VR-assisted anatomy learning. Tiznado-Matzner et al. [12] also observed that 3D-scanned cadaveric models enhanced student perception, spatial understanding, and interactive learning experiences in anatomy education. Likewise, Yoon [13] reported that 3D virtual cadaver practice significantly improved learning motivation, academic achievement, and self-efficacy among first-year nursing students, which aligns with the higher confidence and satisfaction scores observed in the present study. Chen et al. [14] further demonstrated that virtual reality-based 3D anatomical models enhanced student engagement and understanding of complex anatomical structures compared with traditional approaches alone. Michalik et al. [15] highlighted the growing importance of high-fidelity 3D cadaveric models as effective alternatives and adjuncts in medical education and clinical practice, emphasizing their value in improving accessibility and visualization. In addition, Lim et al. [16] found that innovative 3D educational models were comparable to cadaveric materials in teaching anatomy, reinforcing the effectiveness of technology-enhanced anatomy education. Collectively, these studies support the present findings and suggest that blended digital cadaver-based learning provides a valuable supplement to conventional cadaveric teaching by improving educational outcomes, learner engagement, and long-term retention in medical training.

 

The present study demonstrates that the integration of 3D virtual digital cadaver learning with traditional cadaveric teaching is an effective approach in medical education. Although immediate learning outcomes were comparable between groups, students exposed to the blended digital cadaver method showed significantly better long-term knowledge retention. Additionally, higher levels of satisfaction, engagement, confidence, and perceived usefulness were observed among students using digital cadaver-based learning. These findings suggest that 3D virtual digital cadavers serve as valuable adjuncts to conventional anatomy teaching by enhancing learner experience and retention. Incorporating digital cadaver technology into undergraduate medical training may improve the overall effectiveness of anatomy education.

 

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