FIELD: medicine.SUBSTANCE: invention refers to medicine, namely to medical equipment. A radiation therapy prediction system with a radiation dose prediction comprises: an image acquisition device for obtaining one or more three-dimensional medical images； non-temporal machine-readable data medium for storing said one or more three-dimensional medical images, a neural network model, one or more three-dimensional anatomical maps and one or more three-dimensional dose distributions； image processing device configured to: teach a neural network model to predict at least one of the fluence map and the dose map based on said one or more three-dimensional medical images and said one or more three-dimensional anatomical maps； and generate a three-dimensional dose distribution based on neural network prediction. A radiation therapy prediction system with a radiation dose prediction comprises: an image acquisition device for obtaining a set of training data, wherein the training data comprise one or more three-dimensional medical images, a neural network model, one or more three-dimensional anatomical maps and one or more three-dimensional dose distributions, a non-temporal machine-readable data medium for storing training data, a first neural network model and a second neural network model； wherein the image processing device is configured to: teach the first neural network model using the training data to predict the first dose distribution； train the second neural network model using the training data to predict the second dose distribution； determining an error by comparing a first dose distribution with a second dose distribution； and use this error to train the first neural network model. Method for prediction of a dose of radiation therapy comprises: receiving one or more three-dimensional medical images from an image acquisition device； storing three-dimensional images, neural network models, one or more three-dimensional anatomical maps and one or more three-dimensio
