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The integration of healthcare data, open access to healthcare data, and use of artificial intelligence to organize and analyze fragmented medical information can improve medical and health services, promote the level of rational decision-making by the government, and reduce any inequality in the allocation of medical and health resources. This paper summarizes the current status of artificial intelligence technologies and their applications in the fields of medical information semantic fusion and image analysis. This study also analyzes the current problems and challenges associated with these technologies. First, the construction of clinical terminology standards by standardized representation and structural integration of medical information is key. Second, using medical knowledge to construct an intelligent diagnosis and treatment model with the capability to combine multimodal data analysis and structured knowledge reasoning is currently the focus of development in image intelligence. Thus, we propose a nationwide healthcare open data cloud platform that can open new data markets, improve the integration of healthcare data, and provide new services pertaining to knowledge discovery and utilization. We also suggest some basic industry standards for medical and health information to strengthen the research and development of domestic medical devices, promote the development of intelligent medical devices and smart wearable devices, and guide the industry toward new frontiers in the combination of artificial intelligence and medical devices.
Kong et al. (Mon,) studied this question.