The embodiment of the invention discloses a model deprejudice method and device based on a medical
large model, equipment and a medium. A specific embodiment of the method comprises the following steps: carrying out multi-level prejudice removal correction on a multi-
modal medical
data set, and then carrying out data
equalization grouping to obtain a multi-
modal equalization medical training data set; performing resource detection on the
server cluster; inputting the multi-
modal equilibrium
medical training data set into the medical
large model to obtain a multi-modal
medical diagnosis information set; inputting the multi-modal
medical diagnosis information set and the multi-modal medical sample diagnosis information set into a multi-modal adversarial fair
depolarization loss function to obtain a model loss value; and after model deprejudice
processing is carried out on the multi-modal equilibrium
medical test data set, model training is carried out on the
drug recommendation model, and a
drug delivery
robot is controlled to carry out transportation. According to the embodiment, the resource load balance of the
server cluster and the quality of the medical data after prejudice removal can be improved, the training speed of the model is improved, and the
robot is accurately controlled to convey medicines.