LNELecture Notes in Education, Arts, Management and Social ScienceTBA2705-053XBio-Byword Scientific Publishing Pty. Ltd.10.18063/LNE.v3i7.740ArticleIntegrating Knowledge Discovery and Artificial Intelligence in Digital Preservation of Mongolian Medical Ancient Textshttps://artdesignp.com/journal/LNE/3/7/10.18063/LNE.v3i7.740KouXuri2025372025-08-26The digitization of ancient Mongolian medical literature is a critical task for preserving traditional medical heritage and enabling its modern transformation. This study analyzes technical adaptability, knowledge mining pathways, and collaborative mechanisms in digitization through multi-regional empirical cases, bibliometric analysis, and web-based surveys. Key findings indicate that standardized metadata development, AI-assisted technologies, and cross-institutional collaboration are essential to overcoming preservation challenges. The research provides theoretical support for building a knowledge service system for Mongolian medical ancient literature, promoting its modern transformation and innovative applications.Mongolian medical ancient texts,Digital preservation,Knowledge discovery,Artificial Intelligence,Collaborative mechanism

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