Stroke care in the ChatGPT era: Potential use in early symptom recognition

Abstract

Dear editor, Generative Pre-trained Transformer-based Chatbot (ChatGPT)[1] or similar natural language processing[2] and large language models[3] are artificial intelligence systems designed to understand and respond to human languages, allowing them to provide information, answer questions, and provide guidance on a wide range of topics. One of their key benefits is immediate access to information in a conversational format, as if a hotline call, which is essential in acute medical conditions. Currently, medical utilization of ChatGPT is a hot research topic. Because its intrinsic difference from search engines, ChatGPT has the potential to revolutionize our mode of information access. In the field of stroke diseases, ChatGPT can help patients recognize the symptoms early, provide guidance on immediate responses, and brief users on what to expect during their medical evaluation and treatment processes. Table 1 (https://links.lww.com/JOAD/A16) showed the chat records from one of our ischemic stroke patients upon his symptoms' onset. Stroke patients and their relatives are often in a state of panic and stress when facing the uncertainties ahead. Chatbots, in some sense, are providing telemedicine[4], which is particularly important in remote or underserved areas. However, if stroke patients are experiencing symptoms of dysarthria, dysphasia, aphasia, or alexia[5], using Chatbots may be challenging. Seeking help from caregivers, or virtual assistants may be needed.Table 1.: Patient's chat record with ChatGPT upon his onset of symptoms. The acronym of “FAST” in stroke management was also mentioned by ChatGPT.In short, the role of Chatbots in medical emergency pre-hospital care is evolving. By providing instant responses to patients and their families, these systems may help improving patients' outcomes by enabling early detection of symptoms and facilitating timely referral for appropriate medical advice. Conflict of interest statement The authors report no conflict of interest. Funding This study received no extramural funding. Authors' contributions WYL acquired the data and drafted the manuscript. SCLA contributed to the concept development and the design of this study, and revised the manuscript. Both authors analyzed and interpreted the data. Publisher's note The Publisher of the Journal remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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