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

Abstract This study explores disparities and opportunities in healthcare information provided by AI chatbots. We focused on recommendations for adjuvant therapy in endometrial cancer, analyzing responses across four regions (Indonesia, Nigeria, Taiwan, USA) and three platforms (Bard, Bing, ChatGPT-3...

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Principais autores: Khanisyah E. Gumilar, Birama R. Indraprasta, Yu-Cheng Hsu, Zih-Ying Yu, Hong Chen, Budi Irawan, Zulkarnain Tambunan, Bagus M. Wibowo, Hari Nugroho, Brahmana A. Tjokroprawiro, Erry G. Dachlan, Pungky Mulawardhana, Eccita Rahestyningtyas, Herlangga Pramuditya, Very Great E. Putra, Setyo T. Waluyo, Nathan R. Tan, Royhaan Folarin, Ibrahim H. Ibrahim, Cheng-Han Lin, Tai-Yu Hung, Ting-Fang Lu, Yen-Fu Chen, Yu-Hsiang Shih, Shao-Jing Wang, Jingshan Huang, Clayton C. Yates, Chien-Hsing Lu, Li-Na Liao, Ming Tan
Format: Artigo
Sprog:Inglês
Udgivet: Nature Portfolio 2024-07-01
Serier:Scientific Reports
Fag:
Artificial intelligence
Endometrial cancer
Bing
Bard
ChatGPT
Disparity
Online adgang:https://doi.org/10.1038/s41598-024-67689-0
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