Although previous studies have assessed the adequacy of ChatGPT (Generative Pre-Trained Transformer) in psychiatry, no research, to our knowledge, has focused specifically on child psychiatry. This study aimed to evaluate the performance of ChatGPT in child psychiatry by testing it with board-level questions from the question bank of a reference textbook in the field. Seven tests from the textbook were randomized using random.org, and Tests 1,2, and 5 were selected. A total of 600 questions were presented to two versions of ChatGPT: GPT-4o (July 2024) and GPT-5.2 (December 2025). Each response was recorded as correct or incorrect. The questions were further categorized into two groups based on length (short vs.long) and question type (multiple-choice questions–MCQ vs. true/false questions-TFQ). ChatGPT-4o answered 522 (87.0%) of the 600 questions correctly, while GPT-5.2 provided correct answers to 546 (91.0%). The improvement in ChatGPT-4o\'s and ChatGPT-5.2’s accuracy was statistically significant (p < 0.001). No significant differences were found between short and long questions for either version (ChatGPT-4o: p = 0.61; ChatGPT-5.2: p = 0.60). Both versions achieved higher accuracy on MCQs compared to TFQs, this difference was borderline significant for ChatGPT-4o (p < 0.047) and clearly significant for ChatGPT-5.2 (p < 0.009). Both versions of ChatGPT performed successfully, with the latest version, ChatGPT-5.2, showing significantly improved accuracy. As large language models continue to enhance, improvements in accuracy may contribute to reducing certain risks in psychiatry-related tasks.
ChatGPT-5 achieved passing-level performance across all formats in the sample set, and was strongest in constructed response questions and weaker in single best answer questions.
L. Birkett, T. Fowler, A. Mazzoleni· Anaesthesia Reports· 0 citations
MIND was able to answer many questions about escitalopram in a manner deemed accurate, complete, and safe by psychiatrists the majority of the time, and represents a step towards building safe LLM systems to enhance patient education in psychiatry.
Alexander J. Hish, A. Nagendran, S. Compton· 0 citations
The findings indicate that ChatGPT generally provides accurate and comprehensive information on SLDs, however, parents’ responses often included technical terminology and excessive detail, reducing clarity, and reinforcing ChatGPT’s role as a supplementary tool rather than an independent medical information source for...
Ebru Turan, T. Babayiğit· Medical Science· 0 citations
Background: Transgender and gender-diverse individuals encounter stigma, discrimination, and healthcare access barriers, leading them to seek online information, including from large language models like ChatGPT and Google Gemini. This study compares their responses on gender-affirming care.
Methods: This cross-section...
Selin Tekin, Banu Ertürk, S. H. Oğuz et al.· Acta medica· 0 citations
Aim: To assess the readability of ChatGPT-4o and ChatGPT-5 responses to questions about ear care.
Materials and Methods: Ten questions about ear care from the World Health Organization’s ‘Questions and Answers’ section were each posed seven times to both ChatGPT-4o and ChatGPT-5. A total of 70 responses were obtained a...
Cemal Ozyilmaz, M. Karakuş· Northwestern Medical Journal· 0 citations
This study compared responses from the LLMs ChatGPT-4.0, DeepSeek, Gemini, and Perplexity to 20 English-language questions about COPD that patients could present and found no LLM consistently met the approximate eighth-grade target.