This application relates to the field of intelligent
medicine, and particularly relates to a method,
system and device for predicting EPH after parathyroidectomy based on images. It includes obtaining parathyroid images of a patient; extracting EPH highly correlated features based on the parathyroid images to predict EPH after
surgery to obtain a prediction result; wherein, the construction process of the EPH highly correlated features is as follows: S1: obtaining a parathyroid image set, EPH grouping labels, and
blood calcium concentration labels of the patient; S2: extracting primary features from the parathyroid image set based on the EPH grouping labels and
blood calcium concentration labels; S3: performing
feature screening on the primary features to obtain the EPH highly correlated features. This method predicts whether EPH occurs after parathyroidectomy for patients with
secondary hyperparathyroidism through
radiomics features, and has good
clinical value.