Short Research Article: Evaluation of an artificial intelligence language model in psychiatric patient education

The incorporation of artificial intelligence (AI) and machine learning (ML) into medicine has enhanced clinical information processing. ChatGPT, an AI language model, has demonstrated proficiency in generating human-like responses to complex medical queries. This study explores ChatGPT's potential to instruct parents on behavioral parent training (BPT) for managing attention-deficit hyperactivity disorder (ADHD) in children.

ChatGPT was prompted with three parent-focused questions regarding BPT for ADHD. An ADHD-specialized psychiatrist reviewed the model's responses to assess clarity, accuracy, and clinical relevance.

ChatGPT provided responses that were easy to understand and included actionable behavioral strategies. The answers referenced professional literature; however, some references were outdated. Limitations were noted in the specificity and depth of the information provided.

AI tools like ChatGPT show promise as supplementary resources in patient education and caregiver support. While helpful, current limitations-particularly in depth and reference accuracy-indicate a need for refinement to maximize their effectiveness in clinical communication and patient management contexts.