1. Disparities in medical recommendations from AI-based chatbots across different countries/regions
- Author
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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, and Ming Tan
- Subjects
Artificial intelligence ,Endometrial cancer ,Bing ,Bard ,ChatGPT ,Disparity ,Medicine ,Science - Abstract
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-3.5). Utilizing previously published cases, we asked identical questions to chatbots from each location within a 24-h window. Responses were evaluated in a double-blinded manner on relevance, clarity, depth, focus, and coherence by ten experts in endometrial cancer. Our analysis revealed significant variations across different countries/regions (p
- Published
- 2024
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