This literature review involves the use of AI communication facilitators to detect mood disorders such as bipolar disorder, a psychiatric condition in which patients experience drastic mood shifts. Due to the ill-defined nature of the disorder, it is difficult for even a psychiatrist alone to be confident with their diagnosis. I propose that the model can be broken down into specific critical decision points with considerations made for each party involved in the process, aligning with the service blueprint model. I conclude by emphasizing the importance of AI in bipolar disorder diagnosis and treatment due to its ability to embrace patient heterogeneity, and bridge the gap between mental healthcare and human-AI interaction.