aceIntegrating Large Language Models and Metaverse-Related Technologies in Urology Education: Viewpoint
Urology education must prepare learners to integrate anatomical visualization, diagnostic reasoning, technical performance, communication, and ethical judgment, often under restricted working hours and limited access to high-fidelity cases. This viewpoint argues that large language models (LLMs) and metaverse-related technologies should be integrated as complementary, supervised educational tools rather than treated as autonomous replacements for educators or clinical experience. LLMs can support cognitive appre…
Used as supervised complements, LLMs and extended-reality tools could support apprenticeship-style learning, communication practice, and spatial and remote procedural training for urology learners.
The article is a viewpoint that calls for randomized controlled trials and prospective evaluation, indicating effectiveness on clinical performance has not yet been established.
Evidence
- Peer-reviewedJMIR Medical Education2026-10-19
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Truvace Impact Record TRV-2026-1933, v1: “Integrating Large Language Models and Metaverse-Related Technologies in Urology Education: Viewpoint.” Truvace, 2026-10-19. /record/TRV-2026-1933 (accessed at citation time). sha256 4d8695098e8ff2cb…
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