In this study, Xu and colleagues assess the preferences of tuberculosis patients in remote, AI-assisted healthcare management in China, along with specific characteristics impacting their choices through a discrete choice experiment (DCE). The DCE used in this study was a 3 section questionnaire administered to patients diagnosed with tuberculosis in the Hubei province of China, which used Strata 16 to generate 16 different choice sets, divided into two blocks. Each participant was assigned to one block, and asked to answer question surrounding their preferences in medical services. Key findings of the study include strong patient preference for human and Ai supplemented-human services over AI-only services. Additionally, communication mediums such as video-chat and voice were preferred over text and image formats. Most critical, however, was the out-of-pocket cost of the service, demonstrating that affordability remains a barrier to healthcare service access. While AI-assisted service models can be useful for the management of tuberculosis, this study demonstrates that patients still remain resistant towards the use of AI in their healthcare, including strong preference overall for physician-led management; however, the findings support greater openness to Ai-assisted physician-lead healthcare from individuals with higher incomes, indicating the need for further research on the link between attitudes towards AI in healthcare and socio-economic status.