The current state and prospects of artificial intelligence in the detection of bipolar affective disorder

Objective: Bipolar affective disorder is a prevalent mental health issue, carrying significant importance in the accurate diagnosis of depression, as early intervention and effective treatment are crucial. With the constant evolution of artificial intelligence technology, its application in the detection of bipolar affective disorder is gradually demonstrating progress. This paper aims to review the current state of artificial intelligence in the detection of bipolar affective disorder, encompassing applications in emotion analysis, data mining and predictive models, speech and language recognition, as well as remote monitoring and support. Furthermore, we will explore the challenges currently faced and delve into the future directions of artificial intelligence in the detection of bipolar affective disorder. Through this comprehensive review and research outlook, we aspire to deepen understanding of the potential and role of artificial intelligence in the detection of bipolar affective disorder, and provide guidance for future research and development.