The application provides a method and device for intelligently recommending
prosthesis parameters in hip replacement
surgery, equipment and storage medium. The method comprises: establishing a standard template
prosthesis, establishing a reversible mapping function for different brands and models of prostheses and the standard template
prosthesis respectively, and composing a prosthesis mapping relationship
library; using the standard template prosthesis
pose parameters corresponding to the prosthesis model in a large number of
hip surgery planning schemes formulated by doctors with rich clinical experience as samples, training a neural network to learn; inputting patient CT images, and outputting the
pose parameters corresponding to the standard template prosthesis; after a doctor selects a specific brand and model of prosthesis, the
system automatically selects the adaptive model and automatically corrects the
pose parameters through the pre-established mapping function. The application can adapt to prostheses of different brands and series by introducing the standard template prosthesis and the mapping function, and increase new brands and series without changing the main process.