An Efficient Ophthalmic Disease QA System Integrated with Knowledge Graphs and Digital Humans

Facing the reality of a large number of ophthalmic patients in China and the uneven distribution of medical resources, the incorporation of smart healthcare is especially critical. Applications of smart healthcare such as QA systems and decision support are instrumental in facilitating the transition to informatization. The construction of a knowledge graph in the field of ophthalmic diseases is a prerequisite for establishing a QA system. Artificial Intelligence Generated Content (AIGC) has become a focal point of research in the field of artificial intelligence, with numerous scholars dedicated to integrating AIGC technology into various aspects of production and daily life. In these related domains, digital human technology also plays an essential role. Consequently, this paper introduces an ophthalmic disease QA system that combines knowledge graphs with digital human technology, with the goal of enhancing the quality and efficiency of medical services, enabling interaction with users, and elevating the overall user experience.