Back to the articles list | Back to browse issues page

Research code: --
Ethics code: ---

XML Persian Abstract Print

Stroke GPT: a spoken artificial intelligence for the evidence review of stroke prevention and acute care
Mansour Deylami , Hanieh Raad , Tayyebeh Zarei , Mehrdad Sayadinia , Bibi Bibi Mona Razavi , Somayyeh Mehrpour , Maryam Ziaei
Abstract:   (798 Views)
This study used large linguistic artificial intelligence models to create a user-friendly interface for reviewing high-level evidence on stroke prevention and acute care. A literature review of the research background was conducted between 2010-2024, focusing on general reviews of databases such as PubMed and Cochrane Library. The collected articles were used to design a chat bot using the meta-llama/Meta-Llama model with specific pre-processing to increase the accuracy and relevance of the answer. Only guidelines and umbrella reviews that are systematic reviews of review studies were used in this database. Embedded on a website, the model uses data from more than 1,000 studies summarized in 228 systematic reviews, covering more than 1 million patients. The chatbot answers questions with evidence-based references and keeps the focus on the training data without wandering off into unrelated topics. The results of this study demonstrated the ability of the model to provide detailed and sourced responses compared to the standard ChatGPT interface. But this model is only limited to English language.
 
Keywords: ChatGPT, Stroke, Review, Evidence-based Medicine, Cerebrovascular
     
Type of Study: Review | Subject: Special
Received: 2024/10/21 | Accepted: 2024/12/20
Add your comments about this article : Your username or Email:
CAPTCHA
Send email to the article author

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.