The spread of COVID-19 in the world has changed the original way of life, economy, society, learning and work around the world. Under the background of normalization of epidemic prevention and control, how to carry out overseas Chinese education and how to affect overseas Chinese education is one of the important issues concerned by scholars at home and abroad and overseas Chinese. How to effectively deal with the international situation after the outbreak of the epidemic and how to determine the future development direction of overseas Chinese education is an important goal and direction that researchers need to study in depth.Based on the perspective of teaching effect evaluation of blended learning mode under the background of artificial intelligence, this paper takes Phuket Thai Chinese School in ASEAN as an example, collects relevant research data through grounded survey method, adopts quantitative analysis method, comprehensively judges the impact of overseas Chinese education after the outbreak of the epidemic, and puts forward systematic, comprehensive and scientific suggestions. It is hoped that the decision-making mechanism and method innovation of overseas Chinese education in response to the new coronavirus disease will be effectively promoted, and the effective development of overseas Chinese education will be actively promoted.

Intelligent medical treatment is an important research field in today’s world. Artificial intelligence technology is the key factor to construct intelligent medical treatment. In the development of artificial intelligence technology, it is necessary to establish a scientific, systematic, and comprehensive system analysis model, inevitably with certain professional characteristics. At present, in the research of vocal health care in professional vocal music performance, the application of intelligent medical care and vocal health care in professional vocal music performance is studied. According to the DEMATEL-ISM research method, this paper constructs 4 internal and external factors and 16 influencing factors to build a comprehensive and systematic weight analysis model, which provides a theoretical and practical basis for the scientific construction of AI technology algorithms. The aim is to improve the value and research significance of intelligent medical artificial intelligence technology in professional vocal music performance sound care.