From the early 1960s, the academic community began to carry out the research on artificial intelligence, until the third wave of artificial intelligence brought by the concepts of machine learning and deep learning.
 
For the medical field, in the early 1970s, artificial intelligence has been used in various examinations. For example, according to the results of blood tests to find patients with infectious blood diseases, and extended to assist medical practitioners to determine which antibiotics to use for successful treatment. Compared with the experience rules used in the past, it greatly improves the accuracy of judgment for infectious diseases.
Through the power of artificial intelligence technology, the inspection can be completed in an instant
 
Until recently, the ability of deep learning technology has greatly improved the accuracy of image recognition, for example, through X-ray photography, computed tomography, and magnetic resonance Imaging, as well as cytodiagnosis, can detect the abnormal state of the body from the discovery of ulcers and the results of tumor enlargement. These inspection processes and discoveries have taken more than 10 days in the past to be completed in an instant through the power of artificial intelligence technology.
 
It is believed that in the near future, there will also be a considerable scale of medical reform in the field of Medicine. For the diagnosis of diseases, at present, the simple aspect can be carried out through artificial intelligence similar to recommendation assistance. For example, the consultation and examination results can be input into the equipment with medical artificial intelligence to obtain the contents of similar diagnosis suggestions.