Health Sciences University of Hokkaido Academic Repository / 北海道医療大学学術リポジトリ
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Induction of Monocyte Differentiation into M2 Macrophage-like Cells by Enamel Matrix Derivative
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Effects of Photobiomodulation on the Proliferation and Differentiation of Odontoblast-like Cells
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Modification of gutta-percha surface to utilize an intact MTA as a sealing agent in obturation of root canal
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Opportunities & Issues Arising from the Adoption of AI-Powered Translation Tools in the Healthcare Sector
No full textLanguage barriers remain a major obstacle to equitable healthcare, particularly in multilingual and multicultural societies. AI-powered translation tools, including general platforms such as Google Translate and specialized medical systems, are increasingly being used to address these gaps. This paper examines their potential and limitations, with a focus on the Japanese context. Evidence indicates that these technologies offer clear benefits: rapid and scalable communication, improved access in rural or resource-limited settings, and enhanced efficiency through integration with electronic health records and telemedicine. Patients report greater empowerment, and institutions may reduce reliance on costly interpreter services. However, challenges persist. Current systems often misinterpret complex, technical, or culturally nuanced conversations, raising risks for patient safety. Ethical concerns regarding privacy, accountability, and trust also remain. A hybrid model combining AI tools with human interpreters offers the most effective path forward, positioning AI translation as a complement rather than a replacement in clinical practice.departmental bulletin pape
