Abstract: A method for estimating gestational age of a human fetus using a trained machine learning model with an attention function includes receiving, at a feature extraction module of a trained machine learning model, fetal ultrasound image data for at least one image of a human fetus, and producing, by propagating the ultrasound image data through the feature extraction module, at least one feature vector from the ultrasound image data. The method further includes providing the at least one feature vector as input to an attention module of the trained machine learning model and producing, by propagating the feature vectors through the attention module, a weighted sum vector that aggregates and weights the feature vectors. The method further includes providing the weighted sum vector as input to a gestational age prediction module of the trained machine learning model, which generates, from the weighted sum vector, an estimate of the gestational age of the human fetus.