The invention discloses an 
embryo division 
process analysis and 
pregnancy rate intelligent prediction method and 
system. The method comprises the following steps: collecting 
embryo images within D1 toD6 periods; inputting the 
embryo image into a prokaryotic number prediction 
network model, a 
blastomere number prediction 
network model, a fragment proportion prediction 
network model, a 
blastocyst cavity and 
inner cell mass grade prediction network model and a 
trophoblast grade prediction network model; calculating and outputting a predicted prokaryotic number, a predicted 
blastomere number, a predicted fragment proportion, a predicted 
blastocyst cavity proportion, a predicted 
intracellular mass grade and a predicted 
trophoblast grade of the embryo image; and inputting the same into an embryo 
pregnancy rate 
state prediction machine learning model to calculate and output an embryo 
pregnancy rate prediction result. According to the intelligent prediction method and 
system, the whole embryodevelopment process is monitored, the embryo 
pregnancy rate is obtained through calculation by means of the comprehensive scoring function, manual intervention is not needed in the prediction process, and doctors can be helped to quickly and accurately judge embryo scores.