The invention discloses a multi-
modal medical data
encryption method and device based on a
large model, equipment and a storage medium, relates to the field of
artificial intelligence, is applied to a cloud
service layer carrying a target labeling
large model, and comprises the steps of obtaining original multi-
modal medical data and corresponding target identity data sent by edge end equipment corresponding to the cloud
service layer; performing
feature extraction on the target identity data to obtain a corresponding biological
feature vector, generating a target dynamic key based on the biological
feature vector by using a target dynamic
key generation algorithm, and encrypting the original multi-
modal medical data by using the target dynamic key to obtain corresponding encrypted medical data; and obtaining a target labeling result corresponding to the encrypted medical data by using the target labeling
large model, and binding the biological
feature vector with the target labeling result by using the target dynamic key so as to encrypt and store the target labeling result in a
target database. According to the method and the device, the
data annotation efficiency is improved while the privacy disclosure risk is reduced.