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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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Kaydedildi:
Asıl Yazarlar: 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
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Nature Portfolio 2024-07-01
Seri Bilgileri:Scientific Reports
Konular:
Artificial intelligence
Endometrial cancer
Bing
Bard
ChatGPT
Disparity
Online Erişim:https://doi.org/10.1038/s41598-024-67689-0
Etiketler: Etiketle
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