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With the continuous promotion of “Healthy China’s 2030” national decision, medical and health big data is gradually regarded as an important fundamental strategic resource by the country. Under the influence of big data and artificial intelligence technology, clinical application, scientific research, public health, decision-making, and industrial development will be the direction of improvement in the whole medical field in the future (B. H. Liu et al., 2018). It gives new meaning and connotation to medical information intelligent analysis and decision. The use of artificial intelligence and machine learning theories and methods cannot only find hidden relationships and connections from medical big data, but also the content rules and mechanisms of scientific intelligence are deeply understood and mined in medical big data. The future events of medical big data are predicted to take scientific control methods so that the performance of medical big data can be deeply optimized. Therefore, intelligent analysis and decision-making based on artificial intelligence and machine learning has become a new scientific challenge, and it is crucial to carry out relevant theoretical research.
A new technological revolution marked by medical big data, artificial intelligence, and biotechnology is creating a new medical model change. In the clinical diagnosis and treatment process, the essence of individual patients and their disease can be more thoroughly, accurately, and comprehensively captured. To obtain accurate diagnosis for decision-making and treatment, the key is to realize the process of mass-medical scientific analysis and application of big data (Huang, 2017). The combination of emerging artificial intelligence technology and traditional medicine is reshaping methods of diagnosis, treatment, and industry models in the medical and healthcare field. The intelligent medical diagnosis and treatment mode is considered a new data-driven medical service mode that brings new opportunities for the diagnosis and treatment of complex diseases such as cancer. Intelligent medical information analysis and diagnosis technology can provide good reference diagnoses for doctors to greatly improve their work efficiency, to provide personalized treatment plans for patients more accurately, and to improve patient satisfaction. Therefore, this research has wide application prospects.
Intelligent medicine is an emerging disease prevention and treatment method based on the understanding of individual genes, environment, and lifestyle. It can realize the personalized diagnosis and treatment of diseases and patients, improve medical levels and resources allocation efficiency, and promote the transformation of the medical service modes (Shen, 2019). In the national key research and development program’s “Special Application Guide for Intelligent Medicine,” it is clearly pointed out that it is necessary to carry out application demonstrations of intelligent medicine, such as telemedicine and mobile medicine. The goal is to complete homogeneity within the system, ensure the implementation quality of intelligent medicine, and promote accurate prevention and personalized diagnosis and treatment programs. Nowadays, machine learning is used to predict the development trend of a disease by modeling patient data. When a disease has a bad development trend, corresponding preventive measures are taken in time to effectively prevent the deterioration of the disease and improve the cure rate.
Intelligent medical image analysis is used in biomedical research and clinical diagnosis. Research interests include image segmentation, classification, and retrieval, etc. The main goal is to automatically extract important physiological and pathological information or knowledge from massive medical image data in order to realize the precise analysis of medical images and detection, and effectively reduce missed diagnoses. It will provide important and powerful support for clinical diagnosis, treatment, nursing, and medical research.