Therapeutic Decisions in Inflammatory Bowel Disease: <scp>ChatGPT</scp> ‐4.0 Compared to Medical Expertise

Introduction: With the increasing prevalence of inflammatory bowel disease (IBD) and its complex management, evaluating innovative approaches became essential. Large language models (LLM), such as ChatGPT-4.0, have remarkably advanced, yet their application in IBD management remains unexplored. This study compares therapeutic recommendations generated by ChatGPT-4.0 with those made by IBD specialists, evaluating its potential and limitations in clinical practice. Materials and Methods: ). Results: = 0.352) for specific molecule selection. Therapeutic class discordance occurred in 11 cases (23.4%); all were reviewed and deemed acceptable by the gastroenterologists. Notably, seven of ChatGPT-4.0's second-line suggestions matched with the IBD specialists' treatment decisions. Conclusion: This study highlights a promising area of ChatGPT-4.0 application in the therapeutic management of IBD. However, it is not suitable as a standalone or fully reliable resource for decision-making in healthcare. Future development of tailored healthcare GPT integrating European guidelines and experts' feedback may further improve LLM performance.