ReviewCureus2024
From Scalpel to Simulation: Reviewing the Future of Cadaveric Dissection in the Upcoming Era of Virtual and Augmented Reality and Artificial Intelligence.
Review in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Gross anatomy performance associated with human cadaver dissection compared to non-cadaveric methods in nigerian medical students: a comparative cross-sectional study.BMC medical education · 2026Article
- The Evolving Role of AI in Simulation-Based Medical Education: A Narrative Review.Advances in medical education and practice · 2026Review
- Application of Artificial Intelligence in Medical Education: A Systematic and Narrative Review of Pedagogical Potential and Ethical Implications.Advances in medical education and practice · 2026Review
- Anatomy at the threshold: Teaching the human body in a hybrid age.Anatomical sciences education · 2025Article
- Review
- Integration of Augmented Reality, Virtual Reality, and Extended Reality in Healthcare and Medical Education: A Glimpse into the Emerging Horizon in LMICs-A Systematic Review.Journal of medical education and curricular developmentReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cadaveric dissection (CD) has been a foundational practice in medical education for centuries, offering indispensable insights into human anatomy. However, the advent of artificial intelligence (AI) and related technologies is revolutionizing the way anatomy is taught and learned. CD has long been regarded as a cornerstone of medical education, playing a critical role in providing hands-on experience and a deep understanding of human anatomy. It has allowed medical students and professionals to explore the intricacies of the human body in a way that textbooks and other educational resources could not fully replicate. By physically examining and dissecting cadavers, students gain invaluable insights into the complexity of human tissues, organ systems, and anatomical relationships, laying the foundation for their clinical knowledge and practice. This review explores the enduring significance of human cadaveric dissection in contemporary medical education and examines the impact of AI-driven tools and virtual simulations on traditional dissection practices. It also discusses the potential integration of these technologies to enhance medical training. Through an analysis of recent studies and emerging trends, this article provides a concise overview of how CD and AI can complement each other in the education of future healthcare professionals. As technology has advanced, traditional methods of teaching and learning anatomy are undergoing a transformation. AI-powered tools, virtual reality (VR), augmented reality (AR), and 3D simulations are increasingly being integrated into medical curricula, offering new ways to visualize and interact with anatomical structures. These technologies can simulate complex procedures, provide real-time feedback, and offer repeatable, risk-free learning experiences. As a result, many educators and institutions are rethinking the role of CD in the modern medical classroom, questioning whether it remains indispensable or if AI-based alternatives can adequately replace or supplement it. We analyze how AI and virtual simulations are being utilized to complement cadaver-based learning, potentially enhancing the educational experience through innovative, interactive methods. It also will highlight the unique value that CD still provides, including the tactile and spatial understanding of the human body that digital tools may not fully replicate. We also discuss the potential benefits of integrating these technologies into anatomy education, such as increased accessibility, personalized learning, and improved retention of knowledge. Ultimately, the review will consider how the combination of traditional dissection methods and cutting-edge AI technologies can create a more dynamic and effective approach to medical education, preparing students better for the complexities of clinical practice. A consensus has to be reached on how CD and AI can coexist and complement one another in the training of future healthcare professionals.
Indexed as
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What OpenQuestion holds
Registered trials
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.