Objectives: This study aimed to assess the capabilities of ChatGPT (Chat Generative Pre-Trained Transformer) in generating informative content related to bipolar disorders. The objectives were to evaluate its ability to provide accurate information on symptoms, classification, causes, and management of bipolar disorder and to explore its creativity in generating topic-related songs.
Methods: ChatGPT3 was used for the study, and a series of clinically relevant questions were asked to test its knowledge and creativity. Questions ranged from common symptom descriptions to more artistic requests for songs related to bipolar disorder.
Results: ChatGPT demonstrated the capacity to provide basic and informative material on bipolar disorders, including descriptions of symptoms, classification types, causes, and treatment options. It also showed creativity in generating songs that capture the nuances of bipolar symptoms, both during high and low states.
Conclusions: While ChatGPT3 can offer superficial information on psychiatric topics like bipolar disorder, its inability to provide accurate and up-to-date references limits its utility for creating a comprehensive review article for scientific journals. However, it may be helpful in generating educational material and assisting in component tasks for those with bipolar disorder or other psychiatric conditions. As newer versions of AI models are continually developed, their capabilities in producing more accurate and advanced content will need further evaluation.
Keywords: artificial intelligence; bipolar disorder; research.
© 2023 The Authors. Bipolar Disorders published by John Wiley & Sons Ltd.