人工智能赋能中医数字化诊断:现状与挑战OA

At the advent of the era of digital intelligence represented by emerging technologies such as big data and artificial intelligence,the digital transformation of all walks of life represented by"artificial intelligence+"has become the general trend.Artificial intelligence enabling traditional Chinese medicine provides a new opportunity for traditional Chinese medicine to upgrade from"fuzzy"diagnosis and treatment mode to"accurate"diagnosis and treatment mode.Focusing on this cross-field,this paper elaborated the application status of artificial intelligence technology in mass data processing,auxiliary diagnosis and disease pre-diction from the perspective of TCM diagnosis differentiation.At the same time,artificial intelligence technology still faces many challenges in the practical application of traditional Chinese medicine,such as data quality problems caused by the complexity and irregularity of traditional Chinese medicine data,the limited interpretability of artificial intelligence algorithms in traditional Chi-nese medicine diagnosis,and the difficulties in the integration of traditional Chinese medicine theory and artificial intelligence.This paper discussed these status quo and challenges in depth,which was of great significance for promoting the further develop-ment and application of artificial intelligence in digital diagnosis of traditional Chinese medicine.