This invention discloses a
system and method for predicting the risk of
periprosthetic infection after knee
arthroplasty, belonging to the field of medical
data analysis and
processing technology. The
system includes: an
image acquisition interference detection module, an initial infection area determination module, an
infection risk area correction module, and a risk prediction result output module. This invention quantitatively determines the interference of
metal artifacts in
image acquisition by combining relevant image parameters, ensuring the authenticity and reliability of the input images. Based on this, the initial infection area determination module initially identifies the
infection risk area around the
prosthesis, and the
infection risk area correction module further corrects the initially determined infection area, outputting a more accurate corrected infection
risk area. Finally, the risk prediction result output module outputs the final infection risk prediction result based on the corrected dataset. Through the synergistic effect of the above modules, the accuracy of
periprosthetic infection risk prediction after knee
arthroplasty is significantly improved.