Abstract: The disclosure relates to an artificial intelligence-based difficult airway evaluation method and device. The method includes the following steps: acquiring facial images of various postures; constructing a feature extraction network based on facial recognition, and extracting feature information of the facial images through the trained feature extraction network; and constructing a difficult airway classifier based on a machine learning algorithm, and performing difficult airway severity scoring on the extracted feature information of the facial images through the trained difficult airway classifier to obtain an evaluation result of a difficult airway. According to the present disclosure, early warning can be accurately provided for difficult airways in clinical anesthesia.

Abstract: The present invention discloses a shower device, comprising a shower and a base, the base is provided with a convex boss, the back of the shower 1 is provided with a groove matching the convex boss, and the base is also provided with an elastic buckle, the shower is provided with a clamping slot that can be matched and clamped with the elastic buckle, and another socket for hooking up the shower is also provided on the base. Through the design of the above-mentioned structure, the invention specifically uses the cooperation relationship between the clamping slot and the groove to form a lock position in a certain, so as to avoid the accident that the shower falls off from the base and accidentally injures the child. At the same time, a socket is arranged at the height of the side end of the base, which meets the needs of people who need high-altitude shower, and enhance diversity and flexibility.