Determining data representing a change between sets of medical imaging data

A system for determining data representing a change between first medical imaging data and second medical imaging data, comprising:

• a non-transitory memory device for storing computer readable program code;
• and
• a processor in communication with the memory device, the processor being operative with the computer readable program code to perform steps including
• obtaining imaging data representative of the first medical imaging data and the second medical imaging data, or of a difference between the first medical imaging data and the second medical imaging data,
• inputting the imaging data into a trained image processing machine learning model to generate an image feature vector representative of the difference between the first medical imaging data and the second medical imaging data,
• obtaining a plurality of text feature vectors, each text feature vector being representative of natural language text describing a respective change in medical imaging data,
• determining, for each of the plurality of text feature vectors, a similarity measure indicating a degree of similarity between the image feature vector and the text feature vector,
• selecting a text feature vector from among the plurality of text feature vectors based on the determined similarity measures, and
• determining, based on the selected text feature vector, the data representing the change between the first medical imaging data and the second medical imaging data.

One or more non-transitory computer-readable media embodying instructions executable by machine to perform operations, comprising:

• obtaining imaging data representative of first medical imaging data and second medical imaging data, or of a difference between the first medical imaging data and the second medical imaging data;
• inputting the imaging data into a trained image processing machine learning model to generate an image feature vector representative of the difference between the first medical imaging data and the second medical imaging data;
• obtaining a plurality of text feature vectors, each text feature vector being representative of natural language text describing a respective change in medical imaging data;
• determining, for each of the plurality of text feature vectors, a similarity measure indicating a degree of similarity between the image feature vector and the text feature vector;
• selecting a text feature vector from among the plurality of text feature vectors based on the determined similarity measures;
• and
• determining, based on the selected text feature vector, the data representing the change between the first medical imaging data and the second medical imaging data.