The present application relates to the technical field of
biology, and discloses a method for rapidly evaluating pneumonia, especially COVID-19, based on
artificial intelligence, which comprises the following steps: 1) obtaining
lung region
ultrasound images and circulatory volume
ultrasound images of a subject, wherein the circulatory volume
ultrasound images comprise left
ventricular outflow tract ultrasound images, left ventricular long-axis section ultrasound images and
inferior vena cava long-axis section ultrasound images; 2) inputting the
lung region ultrasound images and the circulatory volume ultrasound images of the subject into a trained deep
convolutional neural network model, wherein the trained deep
convolutional neural network model comprises a trained
lung ultrasound image scoring model and a trained circulatory volume
ultrasound image scoring model, so as to obtain the
evaluation result of pneumonia of the subject. The present application also discloses a trained deep
convolutional neural network model suitable for pneumonia, especially COVID-19, a construction method of the trained deep convolutional neural
network model, and a
remote operation ultrasound
robot comprising the trained deep convolutional neural
network model.