The present application relates to the field of
artificial intelligence, and discloses a multi-
modal large model artificial intelligence operation
navigation system based on EdgeAI and AIGC, comprising the following steps: S1, multi-
modal data fusion and
decomposition processing. Collecting massive intraoperative images, multi-classifying according to the operation completion quality, and adding each
modal data to form a unified formatted multi-modal intraoperative
image database; S2, training the
big data using the ONE-PEACE-SZYYv3
large model algorithm based on AIGC to realize the generation and suggestion of the key elements in the operation by the
large model; S3, using the
pruning distillation technology, deploying the large model for
edge computing, and realizing the real-time guidance of the doctor to complete the operation quickly, safely and accurately in the offline network disconnected island environment. The present application can realize the real-
time processing and analysis of the multi-
modal data in the operation in the offline network disconnected
edge computing environment. Finally, it helps the surgeon to complete each operation efficiently and accurately, so that each ordinary operation patient can obtain ideal treatment service.