Artificial intelligence-driven medicine repurposing for chronic pyelonephritis: A potential solution

Objective: This study aimed to assess the efficacy of Chat Generative Pre-trained Transformer (ChatGPT), an artificial intelligence language model, in assisting health-care professionals in selecting appropriate medications for the treatment of chronic pyelonephritis. A panel of medical experts and nephrologists evaluated the recommendations provided by ChatGPT for 10 fictional clinical cases related to chronic pyelonephritis. Materials and Methods: The objective of this investigation was to evaluate the utility of ChatGPT in aiding health-care professionals in making optimal drug choices for the management of chronic pyelonephritis. A group of medical doctors and nephrology specialists assessed the guidance generated by ChatGPT for ten fictional clinical scenarios of chronic pyelonephritis. Results: Across all ten clinical scenarios, ChatGPT consistently offered valuable suggestions for potential drug repurposing in the treatment of chronic pyelonephritis. The recommended medications demonstrated alignment with current medical research and published literature. Despite the absence of specific treatment protocols, the recommendations provided by ChatGPT proved beneficial to health-care practitioners, highlighting potential avenues for drug repurposing. Conclusion: The findings of this study suggest that ChatGPT shows promise as a valuable tool for drug repurposing in the management of chronic pyelonephritis. The precise and concise suggestions provided by ChatGPT assist in identifying potential pharmaceutical options. However, certain limitations, such as the requirement for additional clinical data and the inability to adjust therapy, should be addressed. Further research and enhancements are necessary to improve the effectiveness of ChatGPT for the treatment of chronic pyelonephritis.