The invention relates to a method for screening foot spine
deformity of children and adolescents based on
artificial intelligence and
computer vision technologies. The method comprises the following steps: firstly, acquiring foot three-dimensional data of children and teenagers, and constructing a three-dimensional foot spine model based on the data; thirdly,
processing the data of the three-dimensional foot spine model to obtain key geometric features; and calculating a malformation index by using a specific formula according to the characteristics, comparing the malformation index with a normal parameter threshold range, and marking the characteristic value as a potential malformation characteristic value if the threshold value is exceeded. And then, inputting the potential malformation characteristic value into a three-dimensional
convolutional neural network to obtain a malformation type classification
label. And generating a
deformity degree
score value by means of a clustering
algorithm according to the
label. And finally, inputting the
score value into a trained three-dimensional foot
ridge model to obtain a foot suggestion report comprising targeted suggestions. According to the method, the potential features of the foot spine
deformity can be identified more accurately, the screening accuracy is greatly improved, the screening efficiency is effectively improved, and a personalized correction scheme can be formulated.