The aim of this study, written by Liu et al., is to explore the potential of robotic spinal surgery and artificial intelligence (AI) technologies to enhance diagnostic accuracy and support surgical decision-making in high-altitude regions, specifically in Qinghai Province in China. There is no quantitative data collected in this study. Rather, the current status of medical and health care in remote areas of China and the applications of technology, such as 3D visualization and robot-assisted surgery, are studied. Through reviewing existing studies, they found that even in remote regions, there are clear benefits for using robotic spine surgery and AI-assisted tools for spinal care. For example, China’s domestically developed TiRobot system achieved pedicle screw accuracy rates approaching 95%, which is significantly higher than conventional spinal surgical procedures. Furthermore, AI was used to generate spinal imaging that helped in surgical planning. These developments in technology can improve patient care and treatment even in under-resourced areas, as digital imaging aids physicians in their treatment plans. However, their research showed some limitations. The largest limitations were mainly due to the remote region of Qinghai Province. They found that there was a lack of resources to support these technologies in the remote regions, including cost issues and a decrease in workforce personnel. Furthermore, the lack of internet maintenance and support for the robots and data generalizability as AI models may not perform as well on remote populations. Overall, the efficacy of robotic and AI advancements has shown a strong potential impact on patient care; however, giving rural areas access to these benefits is a continued challenge.