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Other literature type . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
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SIMULATION, VIRTUAL REALITY, AND ARTIFICIAL INTELLIGENCE IN PEDIATRIC SURGICAL TRAINING: CURRENT GAPS AND FUTURE DIRECTIONS

Authors: Prasenjit, Telang Sahir;

SIMULATION, VIRTUAL REALITY, AND ARTIFICIAL INTELLIGENCE IN PEDIATRIC SURGICAL TRAINING: CURRENT GAPS AND FUTURE DIRECTIONS

Abstract

Training in pediatric surgery presents unique challenges due to small patient populations, anatomical variability, ethical constraints, and the high level of technical precision required. Traditional apprenticeship-based training models, while historically effective, are increasingly insufficient to meet modern educational and patient safety demands. In recent years, simulation, virtual reality (VR), and artificial intelligence (AI) have emerged as promising tools to supplement surgical education. However, most existing technologies are developed for adult surgery and lack pediatric-specific design, validation, and outcome correlation. This article reviews the current role of simulation, VR, and AI in pediatric surgical training, critically examines existing gaps in their development and implementation, and outlines future directions for research and integration. Emphasis is placed on the need for child-specific anatomical modeling, standardized curricula, objective assessment tools, and equitable access to training technologies. Addressing these gaps is essential to ensure that technological innovation translates into meaningful improvements in pediatric surgical competence and patient outcomes.

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average