AI in the repurposing of potential herbs for filariasis therapy.

ABSTRACT

BACKGROUND OBJECTIVES: The goal of this study was to see how well an AI language model called Chat Generative Pre-trained Transformer (ChatGPT) assisted healthcare personnel in selecting relevant medications for filariasis therapy. A team of medical specialists and tropical medicine experts reviewed ChatGPT's recommendations for ten hypothetical filariasis clinical situations. METHODS: The purpose of this study was to look at the effectiveness of an AI language model called Chat Generative Pre-trained Transformer (ChatGPT) in supporting healthcare providers in picking appropriate drugs for filariasis treatment. Ten hypothetical filariasis clinical cases were submitted to ChatGPT, and its recommendations were evaluated by a panel of medical professionals and tropical medicine experts. RESULTS: ChatGPT gave appropriate suggestions for potential medication repurposing in filariasis treatment in all ten clinical scenarios. Its drug recommendations were in line with current medical research and literature. Despite the lack of particular treatment regimens, ChatGPT's general ideas proved useful for healthcare practitioners, providing insights and updates on prospective drug repurposing tactics. INTERPRETATION CONCLUSION: ChatGPT shows promise as a useful method for repurposing drugs in the treatment of filariasis. Its thorough and brief responses make it useful for finding possible pharmacological candidates. However, it is critical to recognize ChatGPT's limitations, such as the requirement for additional clinical information and the inability to change therapy. Further research and development are required to optimize its use in filariasis therapy settings.