Application Analysis of Artificial Intelligence Target Controlled Infusion in Clinical Anesthesia Operation

Medical data are too scattered, complex and ethically difficult. Its development in the field of surgery is still in the initial stage of exploration. But with the development of machine deep learning, it is necessary for surgeons and data experts to strengthen interdisciplinary cross-disciplinary cooperation in order to promote the progress of AI in the field of surgical operation, and finally realize AI driven automatic robot for surgical operation. This process is long and hard, which requires a long time of effort from surgeons and data experts, and steadily promote the development of artificial intelligence, so as to achieve achievements. Many clinical operations require anesthesia, local anesthesia or general anesthesia. Artificial anesthesia can not control the dose and concentration of drugs accurately, which leads to the prolonged recovery time of patients and affects physiological function. In addition, the related research confirmed that target controlled intravenous anesthesia can effectively maintain the plasma drug concentration during operation, achieve the ideal anesthesia depth and reduce the stress response of operation. This paper discusses the application of artificial intelligence technology and target controlled infusion in clinical anesthesia. With the aid of the big data learning function of artificial intelligence, the paper analyzes the combination of body indexes of each patient and data of database, and summarizes the anesthesia infusion scheme for each patient. 84 patients who underwent laparoscopic appendicitis in a third class hospital from June 2018 to June 2019 were randomly divided into two groups, 42 patients in each group. The ratio of the number of men and women in the control group was 21:21, the age was between 18 and 55 years old; the ratio of the number of men and women in the control group was 21:21, and the age was between 18 and 55 years. There was no significant difference between the two groups (P > O.05), which was in line with the requirements of comparison.