ArticleAdvances and technical standards in neurosurgery2026
4D Neurosurgery-Learning Brain Surgery from an Avatar.
Article in Advances and technical standards in neurosurgery, 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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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.
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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.
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Authors and funding
2 authors.
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Abstract
Hydrocephalus is one of the most common pediatric neurosurgical conditions worldwide, with an incidence of approximately 6000 new cases in infants annually, 50% of which are congenital. While shunt placement remains a standard treatment, endoscopic third ventriculostomy (ETV) combined with choroid plexus cauterization (CPC) has emerged as a less invasive and durable alternative in selected cases. However, ETV-CPC is technically demanding and requires extensive surgical training, especially for pediatric populations. This chapter explores an innovative, mixed-reality simulation model that combines a physical baby simulator with an expert AI-driven avatar to reduce the learning curve for pediatric neuroendoscopy. The training model, designed specifically for use in under-resourced regions such as the Brazilian Amazon region, was evaluated and showed a 41.65% average decrease in surgical errors post-training. This chapter also discusses the global implications of this methodology for neurosurgical training and equitable medical education.
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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.