A Study to Assess the Accuracy of Artificial Intelligence for Ultrasound-guided Regional Anesthesia

The goal of this observational study is to assess the accuracy of Artificial Intelligence (AI) software to assist ultrasound scanning prior to peripheral nerve blocks. 40 healthy volunteers are going to be accepted to this study in which ultrasound scanning will be performed for four different block types. The main questions it aims to answer are: * Can Nerveblox, the artificial intelligence software highlight and find the key anatomical landmarks on the provided nerve or plane block correctly? * Can the user obtain a correct view of provided nerve or plane block, when the AI software scan success reaches 100%? Participants will be evaluated under four nerve block regions to identify their key anatomical landmarks using ultrasound-guided artificial intelligence software. Three residents with different levels of Ultrasound-guided Regional Anesthesia(UGRA) experience but eligible to perform UGRA techniques will collect the ultrasound images when the artificial intelligence software scan success fed by ultrasound reached 100%. After collecting US images, each pair of US images(highlighted and raw ) will be evaluated by 2 experts for the accuracy of AI assistance, independently and blindly.