Objective To establish a predictive model for the outcome of low birth weight infants based on ultrasound parameters and pregnancy-induced-hypertension. Methods A retrospective study was conducted to include clinical and ultrasound examination data from a sample of 223 pregnant women from January 2019 to December 2021 at Wuhan Central Hospital, and single- and multi-factor regression analyses were performed to screen predictors, and logistic regression was used to construct the prediction model. Bootstrap resampling was used for internal validation, and C statistics, Hosmer?Lemeshow test, and DCA curves were used to evaluate the model, and nomogram were used for model presentation. Results Of the 223 valid samples, 102 (45.7%) were pregnant women with pregnancy-induced-hypertension, 121 (54.3%) were normal, and 39 (16.7%) were low birth weight infants. The variables that were finally included in the prediction model were: presence of pregnancy-induced-hypertension, fetal weight on late pregnancy systemic ultrasound, and S/D of the umbilical artery on routine ultrasound after 32 weeks of gestation. the model had good discrimination and calibration with a C-statistic of 0.852 (95% CI: 0.789~0.914) and Hosmer?Lemeshow test P=0.788. Conclusions We developed a predictive model for predicting the outcome of low birth weight infants using clinical examination data of pregnant women combined with ultrasound parameters. The model has high accuracy and can guide early intervention for adverse pregnancy outcomes and has certain clinical application.