Oranicha Jumreornvong , David Chang , Gonzalo Povea Galdo , Jason Yong , Rohan Jotwani
{"title":"Artificial intelligence assisted virtual reality training module for Gasserian ganglion block","authors":"Oranicha Jumreornvong , David Chang , Gonzalo Povea Galdo , Jason Yong , Rohan Jotwani","doi":"10.1016/j.inpm.2024.100536","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":100727,"journal":{"name":"Interventional Pain Medicine","volume":"4 1","pages":"Article 100536"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11758956/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Interventional Pain Medicine","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772594424001572","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
人工智能辅助的gasseri神经节块虚拟现实训练模块。
•沉浸式学习体验:人工智能辅助的VR模块使学习者能够参与360度沉浸式环境,操纵全息解剖模型并模拟透视指导来执行Gasserian神经节块。•解剖精度:突出显示关键解剖标志,如卵圆孔,并展示正确的c臂定位,帮助医生定位针进针的目标区域。•多语言和多项选择支持:该模块包括人工智能驱动的多语言选项和人工智能生成的多项选择题,以增强学习和记忆。•全球可扩展性:概念验证强调了可扩展的远程学习解决方案的潜力,这些解决方案集成了人工智能,便于在全球不同的培训环境中进行开发和适应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。