In this work, we propose MAGES 4.0, a novel Software Development Kit (SDK) to accelerate the creation of collaborative medical training applications in VR/AR. Our solution is essentially a low-code metaverse authoring platform for developers to rapidly prototype high-fidelity and high-complexity medical simulations. MAGES breaks the authoring boundaries across extended reality, since networked participants can also collaborate using different virtual/augmented reality as well as mobile and desktop devices, in the same metaverse world. With MAGES we propose an upgrade to the outdated 150-year-old master-apprentice medical training model. Our platform incorporates, in a nutsell, the following novelties: a) 5G edge-cloud remote rendering and physics dissection layer, b) realistic real-time simulation of organic tissues as soft-bodies under 10ms, c) a highly realistic cutting and tearing algorithm, d) neural network assessment for user profiling and, e) a VR recorder to record and replay or debrief the training simulation from any perspective.
翻译:在这项工作中,我们建议MAGES4.0,一个新型软件开发工具包(SDK),以加速在VR/AR中创建合作医疗培训应用。我们的解决办法基本上是为开发者建立一个低代码的元反演平台,以快速原型高纤维性和高复合性医学模拟。MAGES打破了作者的界限,跨越了广泛的现实,因为网络参与者也可以利用不同的虚拟/强化现实以及移动和桌面设备,在同一逆向世界中进行合作。我们用MAGES,我们建议升级过时的150年的硕士-学徒医疗培训模式。我们的平台以一个奇特的句子,纳入了以下新颖之处:a) 5G边缘宽的远程转换和物理解剖层,b) 实际实时模拟有机组织为10米以下的软体,c) 高度现实化的切割和撕裂算法,d) 用户特征分析神经网络评估,以及e) 一个从任何角度记录和重新播放或解析培训模拟的VRRer。