In Reply: Usefulness and Accuracy of Artificial Intelligence Chatbot Responses to Patient Questions for Neurosurgical Procedures

Abstract

To the Editor: We extend our gratitude to Liu and Zhang for their engagement and constructive critique of our work, "Usefulness and Accuracy of Artificial Intelligence Chatbot Responses to Patient Questions for Neurosurgical Procedures."1,2 Their comments add valuable perspectives to our research and highlight areas for further exploration. The recent introduction of the ChatGPT Store heralds a significant advance in the evolution of artificial intelligence (AI) technologies, which resonates with our study's aim to assess the capabilities and limitations of AI in patient education. This platform enables users to create and share custom versions of ChatGPT, tailored for specific tasks or needs, and advances the utility of AI through democratization—making it more accessible to a broader audience. The ability of the ChatGPT Store to allow users to craft custom AI tools without coding expertise can greatly enhance interactions, and it provides a promising direction for making AI resources more personalized and engaging for patients—a focus that parallels the goals of our own research. Building on the need for enhanced user interaction, our interdisciplinary approach, including feedback from neurosurgeons and nurses, aimed at examining how to balance accuracy with understandability in AI chatbot responses. Custom GPTs available through the ChatGPT Store could potentially bridge this gap by providing tailored health advice or addressing patient intake in language that is both medically accurate and comprehensible to the layperson. The multilingual capabilities promoted through platforms such as the ChatGPT Store align with our consideration of inclusivity in healthcare information dissemination. As noted in Liu and Zhang's commentary, developing multilingual AI chatbots addresses an essential need by catering to the diverse linguistic backgrounds of patients, thus improving access to information. In addition, the recent research articulated through Microsoft's MEGA (Multilingual Evaluation of Generative AI) initiative highlights the vast potential for AI in breaking down language barriers. It is pertinent to note that while significant strides have been made toward multilingual models, there remains the challenge of achieving equitable AI performance across all languages—an area that demands our attention as we continually strive for inclusivity in AI applications. Finally, ensuring patient data privacy remains a paramount concern. Deidentifying health data before processing by AI is vital for maintaining privacy, especially in compliance with regulations such as HIPAA. In summary, the innovative developments of the ChatGPT Store and advancements in multilingual AI, is invaluable in guiding future research and the application of AI in health care. The considerations raised, along with these technological strides, point to several areas for improvement and exploration to better leverage AI for patient education in neurosurgery and across the healthcare spectrum. We appreciate the insightful dialog and look forward to incorporating these advancements into our continued work.

Ähnliche Arbeiten