Disparities in medical recommendations from AI-based chatbots across different countries/regions

Author:

Gumilar Khanisyah E.,Indraprasta Birama R.,Hsu Yu-Cheng,Yu Zih-Ying,Chen Hong,Irawan Budi,Tambunan Zulkarnain,Wibowo Bagus M.,Nugroho Hari,Tjokroprawiro Brahmana A.,Dachlan Erry G.,Mulawardhana Pungky,Rahestyningtyas Eccita,Pramuditya Herlangga,Putra Very Great E.,Waluyo Setyo T.,Tan Nathan R.,Folarin Royhaan,Ibrahim Ibrahim H.,Lin Cheng-Han,Hung Tai-Yu,Lu Ting-Fang,Chen Yen-Fu,Shih Yu-Hsiang,Wang Shao-Jing,Huang Jingshan,Yates Clayton C.,Lu Chien-Hsing,Liao Li-Na,Tan Ming

Funder

Taiwan Ministry of Education

China Medical University Ying-Tsai Scholar Fund

Publisher

Springer Science and Business Media LLC

Reference45 articles.

1. The Lancet Digital H. Large language models: A new chapter in digital health. Lancet Digit. Health 6(1), e1 (2024).

2. Scholar D. What is ChatGPT : The History of ChatGPT - OpenAI [2023]. (Accessed 1 Nov 2023) https://digitalscholar.in/history-of-chatgpt/.

3. Team S. Bing AI: Exploring Bing Chat, an AI-Powered Search Engine. (Accessed 1 Nov 2023) https://www.semrush.com/blog/bing-ai/.

4. Grant N. Google Releases Bard, Its Competitor in the Race to Create A.I. Chatbots. (Accessed 1 Nov 2023) https://www.nytimes.com/2023/03/21/technology/google-bard-chatbot.html.

5. Seth, I. et al. Evaluating chatbot efficacy for answering frequently asked questions in plastic surgery: A ChatGPT case study focused on breast augmentation. Aesthet. Surg. J. 43(10), 1126–1135 (2023).

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